Loading pre-trained spanBERT from ./pretrained_spanbert ____ Parameters: Client key = XXXXXX Engine key = XXXXXX Gemini key = XXXXXX Method = spanbert Relation = Top_Member_Employees Threshold = 0.7 Query = bill gates microsoft # of Tuples = 10 Loading necessary libraries; This should take a minute or so ...) =========== Iteration: 0 - Query: bill gates microsoft =========== URL ( 1 / 10): https://en.wikipedia.org/wiki/Bill_Gates Fetching text from url ... Trimming webpage content from 142949 to 10000 characters Webpage length (num characters): 10000 Annotating the webpage using spacy... Extracted 49 sentences. Processing each sentence one by one to check for presence of right pair of named entity types; if so, will run the second pipeline ... Processed 5 / 49 sentences Processed 10 / 49 sentences === Extracted Relation === Input tokens: ['founder', 'of', 'TerraPower', 'Founder', 'of', 'Breakthrough', 'Energy', 'Founder', 'of', 'Gates', 'Ventures', 'Technology', 'advisor', 'of', 'Microsoft[1', ']', 'Spouse', 'Melinda', 'French', ' ', '(', 'm.', '1994', ';', 'div', '.', '2021)Children3Parents', 'Bill', 'Gates', 'Sr', '.'] Output Confidence: 0.8811144 ; Subject: Gates Ventures Technology ; Object: 2021)Children3Parents Bill Gates Sr ; Adding to set of extracted relations ========== Processed 15 / 49 sentences Processed 20 / 49 sentences Processed 25 / 49 sentences === Extracted Relation === Input tokens: ['He', 'stepped', 'down', 'as', 'chairman', 'of', 'the', 'Microsoft', 'board', 'in', 'February', '2014', 'and', 'assumed', 'the', 'role', 'of', 'technology', 'adviser', 'to', 'support', 'newly', 'appointed', 'CEO', 'Satya', 'Nadella.[7', ']'] Output Confidence: 0.9911937 ; Subject: Microsoft ; Object: Satya Nadella.[7 ; Adding to set of extracted relations ========== Processed 30 / 49 sentences Processed 35 / 49 sentences Processed 40 / 49 sentences Processed 45 / 49 sentences Extracted annotations for 2 out of total 49 sentences Relations extracted from this website: 2 (Overall: 2) URL ( 2 / 10): https://twitter.com/BillGates Fetching text from url ... Webpage length (num characters): 257 Annotating the webpage using spacy... Extracted 4 sentences. Processing each sentence one by one to check for presence of right pair of named entity types; if so, will run the second pipeline ... Extracted annotations for 0 out of total 4 sentences Relations extracted from this website: 0 (Overall: 0) URL ( 3 / 10): https://news.microsoft.com/tag/bill-gates/ Fetching text from url ... Webpage length (num characters): 35 Annotating the webpage using spacy... Extracted 1 sentences. Processing each sentence one by one to check for presence of right pair of named entity types; if so, will run the second pipeline ... Extracted annotations for 0 out of total 1 sentences Relations extracted from this website: 0 (Overall: 0) URL ( 4 / 10): https://www.instagram.com/thisisbillgates/ Fetching text from url ... Webpage length (num characters): 19 Annotating the webpage using spacy... Extracted 1 sentences. Processing each sentence one by one to check for presence of right pair of named entity types; if so, will run the second pipeline ... Extracted annotations for 0 out of total 1 sentences Relations extracted from this website: 0 (Overall: 0) URL ( 5 / 10): https://www.linkedin.com/in/williamhgates Fetching text from url ... Webpage length (num characters): 1 Annotating the webpage using spacy... Extracted 1 sentences. Processing each sentence one by one to check for presence of right pair of named entity types; if so, will run the second pipeline ... Extracted annotations for 0 out of total 1 sentences Relations extracted from this website: 0 (Overall: 0) URL ( 6 / 10): https://www.britannica.com/biography/Bill-Gates Fetching text from url ... Trimming webpage content from 12467 to 10000 characters Webpage length (num characters): 10000 Annotating the webpage using spacy... Extracted 60 sentences. Processing each sentence one by one to check for presence of right pair of named entity types; if so, will run the second pipeline ... Processed 5 / 60 sentences Processed 10 / 60 sentences Processed 15 / 60 sentences Processed 20 / 60 sentences Processed 25 / 60 sentences Processed 30 / 60 sentences Processed 35 / 60 sentences Processed 40 / 60 sentences Processed 45 / 60 sentences Processed 50 / 60 sentences Processed 55 / 60 sentences Processed 60 / 60 sentences Extracted annotations for 0 out of total 60 sentences Relations extracted from this website: 0 (Overall: 0) URL ( 7 / 10): https://www.forbes.com/profile/bill-gates/ Fetching text from url ... Webpage length (num characters): 6756 Annotating the webpage using spacy... Extracted 41 sentences. Processing each sentence one by one to check for presence of right pair of named entity types; if so, will run the second pipeline ... Processed 5 / 41 sentences Processed 10 / 41 sentences Processed 15 / 41 sentences Processed 20 / 41 sentences Processed 25 / 41 sentences Processed 30 / 41 sentences === Extracted Relation === Input tokens: ['ByAlan', 'OhnsmanForbes', 'StaffJan', '25', ',', '2024Bill', '&', 'Melinda', 'Gates', 'Foundation', 'Chief', 'Calls', 'On', 'More', 'Billionaires', 'To', 'Do', 'More', 'PhilanthropyExtreme', 'poverty', 'has', 'increased', '.'] Output Confidence: 0.96005946 ; Subject: 2024Bill & Melinda Gates Foundation ; Object: ByAlan OhnsmanForbes ; Adding to set of extracted relations ========== Processed 35 / 41 sentences Processed 40 / 41 sentences Extracted annotations for 1 out of total 41 sentences Relations extracted from this website: 1 (Overall: 1) URL ( 8 / 10): https://www.facebook.com/BillGates/ Fetching text from url ... Webpage length (num characters): 12 Annotating the webpage using spacy... Extracted 1 sentences. Processing each sentence one by one to check for presence of right pair of named entity types; if so, will run the second pipeline ... Extracted annotations for 0 out of total 1 sentences Relations extracted from this website: 0 (Overall: 0) URL ( 9 / 10): https://answers.microsoft.com/en-us/outlook_com/forum/all/microsoft-and-bill-gates-are-so-damn-screwed-up/cd76d0e2-ece4-45db-8886-00d557d593e2 Fetching text from url ... Webpage length (num characters): 13 Annotating the webpage using spacy... Extracted 1 sentences. Processing each sentence one by one to check for presence of right pair of named entity types; if so, will run the second pipeline ... Extracted annotations for 0 out of total 1 sentences Relations extracted from this website: 0 (Overall: 0) URL ( 10 / 10): https://www.gatesnotes.com/Home Fetching text from url ... Webpage length (num characters): 157 Annotating the webpage using spacy... Extracted 2 sentences. Processing each sentence one by one to check for presence of right pair of named entity types; if so, will run the second pipeline ... Extracted annotations for 0 out of total 2 sentences Relations extracted from this website: 0 (Overall: 0) ================== ALL RELATIONS for org:top_members/employees ( 3 ) ================= Confidence: 0.9911937 | Subject: Microsoft | Object: Satya Nadella.[7 Confidence: 0.96005946 | Subject: 2024Bill & Melinda Gates Foundation | Object: ByAlan OhnsmanForbes Confidence: 0.8811144 | Subject: Gates Ventures Technology | Object: 2021)Children3Parents Bill Gates Sr =========== Iteration: 1 - Query: Microsoft Satya Nadella.[7 =========== URL ( 1 / 10): https://news.microsoft.com/2018/06/04/microsoft-to-acquire-github-for-7-5-billion/ Fetching text from url ... Webpage length (num characters): 35 Annotating the webpage using spacy... Extracted 1 sentences. Processing each sentence one by one to check for presence of right pair of named entity types; if so, will run the second pipeline ... Extracted annotations for 0 out of total 1 sentences Relations extracted from this website: 0 (Overall: 0) URL ( 2 / 10): https://www.fastcompany.com/40457479/the-7-books-microsoft-ceo-satya-nadella-says-you-need-to-lead-smarter Fetching text from url ... Webpage length (num characters): 59 Annotating the webpage using spacy... Extracted 1 sentences. Processing each sentence one by one to check for presence of right pair of named entity types; if so, will run the second pipeline ... Extracted annotations for 0 out of total 1 sentences Relations extracted from this website: 0 (Overall: 0) URL ( 3 / 10): https://www.microsoft.com/ Fetching text from url ... Webpage length (num characters): 179 Annotating the webpage using spacy... Extracted 1 sentences. Processing each sentence one by one to check for presence of right pair of named entity types; if so, will run the second pipeline ... Extracted annotations for 0 out of total 1 sentences Relations extracted from this website: 0 (Overall: 0) URL ( 4 / 10): https://blogs.microsoft.com/blog/2014/02/07/weekend-reading-feb-7th-edition-new-ceo-satya-nadella-says-microsoft-will-move-faster-push-harder-and-continue-to-transform-and-windows-azure-being-used-to-live-stream/ Fetching text from url ... Webpage length (num characters): 35 Annotating the webpage using spacy... Extracted 1 sentences. Processing each sentence one by one to check for presence of right pair of named entity types; if so, will run the second pipeline ... Extracted annotations for 0 out of total 1 sentences Relations extracted from this website: 0 (Overall: 0) URL ( 5 / 10): https://www.linkedin.com/posts/nasrinm_so-7-years-ago-at-a-meeting-i-had-with-activity-7132416189640630273-qOSR Fetching text from url ... Trimming webpage content from 12523 to 10000 characters Webpage length (num characters): 10000 Annotating the webpage using spacy... Extracted 69 sentences. Processing each sentence one by one to check for presence of right pair of named entity types; if so, will run the second pipeline ... Processed 5 / 69 sentences Processed 10 / 69 sentences Processed 15 / 69 sentences Processed 20 / 69 sentences Processed 25 / 69 sentences Processed 30 / 69 sentences Processed 35 / 69 sentences Processed 40 / 69 sentences Processed 45 / 69 sentences Processed 50 / 69 sentences Processed 55 / 69 sentences Processed 60 / 69 sentences === Extracted Relation === Input tokens: ['board', 'director', 'at', 'Delta', 'Airlines', ')', ',', 'Karenann', 'Terrell', '(', 'former', 'CIO', 'of', 'Walmart', ')', ',', 'and', 'Erwan', 'Rambourg', '(', 'Global', 'Head', 'of', 'Consumer', '&', 'Retail', 'Research', 'at', 'HSBC', ')', ',', 'moderated', 'by', 'Kimberly', 'Chin', '('] Output Confidence: 0.66771966 ; Subject: Delta Airlines ; Object: Kimberly Chin ; Confidence is lower than threshold confidence. Ignoring this. ========== === Extracted Relation === Input tokens: ['Karenann', 'Terrell', '(', 'former', 'CIO', 'of', 'Walmart', ')', ',', 'and', 'Erwan', 'Rambourg', '(', 'Global', 'Head', 'of', 'Consumer', '&', 'Retail', 'Research', 'at', 'HSBC', ')'] Output Confidence: 0.8954526 ; Subject: Consumer & Retail Research ; Object: Karenann Terrell ; Adding to set of extracted relations ========== === Extracted Relation === Input tokens: ['and', 'Erwan', 'Rambourg', '(', 'Global', 'Head', 'of', 'Consumer', '&', 'Retail', 'Research', 'at', 'HSBC', ')'] Output Confidence: 0.97558105 ; Subject: Consumer & Retail Research ; Object: Erwan Rambourg ; Adding to set of extracted relations ========== Processed 65 / 69 sentences Extracted annotations for 1 out of total 69 sentences Relations extracted from this website: 2 (Overall: 3) URL ( 6 / 10): https://en.wikipedia.org/wiki/Satya_Nadella Fetching text from url ... Trimming webpage content from 30523 to 10000 characters Webpage length (num characters): 10000 Annotating the webpage using spacy... Extracted 86 sentences. Processing each sentence one by one to check for presence of right pair of named entity types; if so, will run the second pipeline ... Processed 5 / 86 sentences === Extracted Relation === Input tokens: ['University', 'of', 'Wisconsin', ',', 'Milwaukee', '(', 'MS', ')', 'University', 'of', 'Chicago', '(', 'MBA', ')', 'Occupation(s)Chairman', 'and', 'CEO', ',', 'MicrosoftSpouse', 'Anupama', 'Nadella', '('] Output Confidence: 0.7568969 ; Subject: University of Wisconsin ; Object: Anupama Nadella ; Adding to set of extracted relations ========== === Extracted Relation === Input tokens: ['He', 'is', 'the', 'executive', 'chairman', 'and', 'CEO', 'of', 'Microsoft', ',', 'succeeding', 'Steve', 'Ballmer', 'in', '2014', 'as', 'CEO[2][3', ']'] Output Confidence: 0.98962766 ; Subject: Microsoft ; Object: Steve Ballmer ; Adding to set of extracted relations ========== === Extracted Relation === Input tokens: ['He', 'is', 'the', 'executive', 'chairman', 'and', 'CEO', 'of', 'Microsoft', ',', 'succeeding', 'Steve', 'Ballmer', 'in', '2014', 'as', 'CEO[2][3', ']', 'and', 'John', 'W.', 'Thompson', 'in', '2021', 'as', 'chairman.[4][5', ']'] Output Confidence: 0.9897626 ; Subject: Microsoft ; Object: John W. Thompson ; Adding to set of extracted relations ========== === Extracted Relation === Input tokens: ['succeeding', 'Steve', 'Ballmer', 'in', '2014', 'as', 'CEO[2][3', ']', 'and', 'John', 'W.', 'Thompson', 'in', '2021', 'as', 'chairman.[4][5', ']'] Output Confidence: 0.9846148 ; Subject: chairman.[4][5 ; Object: Steve Ballmer ; Adding to set of extracted relations ========== === Extracted Relation === Input tokens: ['succeeding', 'Steve', 'Ballmer', 'in', '2014', 'as', 'CEO[2][3', ']', 'and', 'John', 'W.', 'Thompson', 'in', '2021', 'as', 'chairman.[4][5', ']', 'Before', 'becoming', 'CEO', ',', 'he', 'was', 'the', 'executive', 'vice', 'president', 'of', 'Microsoft', "'s", 'cloud', 'and', 'enterprise', 'group', ','] Output Confidence: 0.99093753 ; Subject: Microsoft ; Object: Steve Ballmer ; Adding to set of extracted relations ========== === Extracted Relation === Input tokens: ['succeeding', 'Steve', 'Ballmer', 'in', '2014', 'as', 'CEO[2][3', ']', 'and', 'John', 'W.', 'Thompson', 'in', '2021', 'as', 'chairman.[4][5', ']'] Output Confidence: 0.9879153 ; Subject: CEO[2][3 ; Object: John W. Thompson ; Adding to set of extracted relations ========== === Extracted Relation === Input tokens: ['and', 'John', 'W.', 'Thompson', 'in', '2021', 'as', 'chairman.[4][5', ']', 'Before', 'becoming', 'CEO', ',', 'he', 'was', 'the', 'executive', 'vice', 'president', 'of', 'Microsoft', "'s", 'cloud', 'and', 'enterprise', 'group', ','] Output Confidence: 0.9892766 ; Subject: Microsoft ; Object: John W. Thompson ; Duplicate with lower confidence than existing record. Ignoring this. ========== Processed 10 / 86 sentences === Extracted Relation === Input tokens: ['Bukkapuram', 'Nadella', 'Yugandhar', ',', 'was', 'an', 'Indian', 'Administrative', 'Service', 'officer', 'of', 'the', '1962', 'batch.[12][13][9', ']'] Output Confidence: 0.98870224 ; Subject: Indian Administrative Service ; Object: Bukkapuram Nadella Yugandhar ; Adding to set of extracted relations ========== Processed 15 / 86 sentences === Extracted Relation === Input tokens: ['Career', 'Sun', 'Microsystems', 'Nadella', 'worked', 'at', 'Sun', 'Microsystems', 'as', 'a', 'member', 'of', 'its', 'technology', 'staff', 'before', 'joining', 'Microsoft', 'in', '1992.[25', ']'] Output Confidence: 0.9660339 ; Subject: Sun Microsystems ; Object: Nadella ; Adding to set of extracted relations ========== === Extracted Relation === Input tokens: ['Microsoft', '1992–2014', 'Nadella', 'on', 'his', 'first', 'day', 'as', 'CEO', 'of', 'Microsoft', ','] Output Confidence: 0.9867458 ; Subject: Microsoft ; Object: Nadella ; Adding to set of extracted relations ========== === Extracted Relation === Input tokens: ['Microsoft', '1992–2014', 'Nadella', 'on', 'his', 'first', 'day', 'as', 'CEO', 'of', 'Microsoft', ',', 'with', 'former', 'CEOs', 'Bill', 'Gates', '('] Output Confidence: 0.5450851 ; Subject: Microsoft ; Object: Bill Gates ; Confidence is lower than threshold confidence. Ignoring this. ========== === Extracted Relation === Input tokens: ['Microsoft', '1992–2014', 'Nadella', 'on', 'his', 'first', 'day', 'as', 'CEO', 'of', 'Microsoft', ','] Output Confidence: 0.9867204 ; Subject: Microsoft ; Object: Nadella ; Duplicate with lower confidence than existing record. Ignoring this. ========== Processed 20 / 86 sentences === Extracted Relation === Input tokens: ['Nadella', 'worked', 'as', 'the', 'senior', 'vice', '-', 'president', 'of', 'research', 'and', 'development', '(', 'R&D', ')', 'for', 'the', 'Online', 'Services', 'Division', 'and', 'vice', '-'] Output Confidence: 0.9889399 ; Subject: the Online Services Division ; Object: Nadella ; Adding to set of extracted relations ========== === Extracted Relation === Input tokens: ['Nadella', 'worked', 'as', 'the', 'senior', 'vice', '-', 'president', 'of', 'research', 'and', 'development', '(', 'R&D', ')', 'for', 'the', 'Online', 'Services', 'Division', 'and', 'vice', '-', 'president', 'of', 'the', 'Microsoft', 'Business', 'Division', '.'] Output Confidence: 0.9899278 ; Subject: the Microsoft Business Division ; Object: Nadella ; Adding to set of extracted relations ========== Processed 25 / 86 sentences === Extracted Relation === Input tokens: ['Previous', 'positions', 'held', 'by', 'Nadella', 'include:[31', ']', 'President', 'of', 'the', 'Server', '&', 'Tools', 'Division', '('] Output Confidence: 0.72998196 ; Subject: the Server & Tools Division ; Object: Nadella ; Adding to set of extracted relations ========== Processed 30 / 86 sentences Processed 35 / 86 sentences Processed 40 / 86 sentences === Extracted Relation === Input tokens: ['Microsoft', 'acquired', 'GitHub', 'for', 'US$', '7.5', 'billion.[52', ']', 'As', 'of', 'November', '2023', ',', 'Microsoft', 'stock', 'had', 'increased', 'nearly', 'tenfold', 'since', 'Nadella', 'became', 'CEO', 'in', '2014', ','] Output Confidence: 0.9933854 ; Subject: Microsoft ; Object: Nadella ; Adding to set of extracted relations ========== === Extracted Relation === Input tokens: ['Microsoft', 'acquired', 'GitHub', 'for', 'US$', '7.5', 'billion.[52', ']', 'As', 'of', 'November', '2023', ',', 'Microsoft', 'stock', 'had', 'increased', 'nearly', 'tenfold', 'since', 'Nadella', 'became', 'CEO', 'in', '2014', ','] Output Confidence: 0.9928606 ; Subject: GitHub ; Object: Nadella ; Adding to set of extracted relations ========== === Extracted Relation === Input tokens: ['Microsoft', 'stock', 'had', 'increased', 'nearly', 'tenfold', 'since', 'Nadella', 'became', 'CEO', 'in', '2014', ','] Output Confidence: 0.9904906 ; Subject: Microsoft ; Object: Nadella ; Duplicate with lower confidence than existing record. Ignoring this. ========== Processed 45 / 86 sentences Processed 50 / 86 sentences Processed 55 / 86 sentences Processed 60 / 86 sentences === Extracted Relation === Input tokens: ['"', 'Microsoft', 'CEO', 'Satya', 'Nadella', 'Once', 'Gave', 'Up', 'His', 'Green', 'Card', 'For', 'Love', '"'] Output Confidence: 0.8068683 ; Subject: Microsoft ; Object: Satya Nadella ; Adding to set of extracted relations ========== Processed 65 / 86 sentences Processed 70 / 86 sentences Processed 75 / 86 sentences Processed 80 / 86 sentences Processed 85 / 86 sentences Extracted annotations for 9 out of total 86 sentences Relations extracted from this website: 15 (Overall: 19) URL ( 7 / 10): https://www.linkedin.com/pulse/7-short-stories-shared-satya-nadella-ceo-microsoft-pinaki-sen Fetching text from url ... Webpage length (num characters): 4104 Annotating the webpage using spacy... Extracted 44 sentences. Processing each sentence one by one to check for presence of right pair of named entity types; if so, will run the second pipeline ... Processed 5 / 44 sentences Processed 10 / 44 sentences Processed 15 / 44 sentences Processed 20 / 44 sentences Processed 25 / 44 sentences Processed 30 / 44 sentences Processed 35 / 44 sentences Processed 40 / 44 sentences Extracted annotations for 0 out of total 44 sentences Relations extracted from this website: 0 (Overall: 0) URL ( 8 / 10): https://www.theverge.com/2016/7/7/12111028/microsoft-bot-framework-artificial-intelligence-satya-nadella-interview Fetching text from url ... Trimming webpage content from 22112 to 10000 characters Webpage length (num characters): 10000 Annotating the webpage using spacy... Extracted 82 sentences. Processing each sentence one by one to check for presence of right pair of named entity types; if so, will run the second pipeline ... Processed 5 / 82 sentences Processed 10 / 82 sentences Processed 15 / 82 sentences Processed 20 / 82 sentences Processed 25 / 82 sentences Processed 30 / 82 sentences Processed 35 / 82 sentences Processed 40 / 82 sentences Processed 45 / 82 sentences Processed 50 / 82 sentences Processed 55 / 82 sentences Processed 60 / 82 sentences Processed 65 / 82 sentences Processed 70 / 82 sentences === Extracted Relation === Input tokens: ['Google', 'CEO', 'Sundar', 'Pichai', ','] Output Confidence: 0.98995715 ; Subject: Google ; Object: Sundar Pichai ; Adding to set of extracted relations ========== Processed 75 / 82 sentences Processed 80 / 82 sentences Extracted annotations for 1 out of total 82 sentences Relations extracted from this website: 1 (Overall: 1) URL ( 9 / 10): https://twitter.com/satyanadella/status/1726509045803336122 Fetching text from url ... Webpage length (num characters): 257 Annotating the webpage using spacy... Extracted 4 sentences. Processing each sentence one by one to check for presence of right pair of named entity types; if so, will run the second pipeline ... Extracted annotations for 0 out of total 4 sentences Relations extracted from this website: 0 (Overall: 0) URL ( 10 / 10): https://www.inc.com/tommy-mello/microsoft-ceo-satya-nadella-just-gave-best-leadership-advice-in-7-words.html Fetching text from url ... Webpage length (num characters): 51 Annotating the webpage using spacy... Extracted 1 sentences. Processing each sentence one by one to check for presence of right pair of named entity types; if so, will run the second pipeline ... Extracted annotations for 0 out of total 1 sentences Relations extracted from this website: 0 (Overall: 0) ================== ALL RELATIONS for org:top_members/employees ( 19 ) ================= Confidence: 0.9933854 | Subject: Microsoft | Object: Nadella Confidence: 0.9928606 | Subject: GitHub | Object: Nadella Confidence: 0.9911937 | Subject: Microsoft | Object: Satya Nadella.[7 Confidence: 0.99093753 | Subject: Microsoft | Object: Steve Ballmer Confidence: 0.98995715 | Subject: Google | Object: Sundar Pichai Confidence: 0.9899278 | Subject: the Microsoft Business Division | Object: Nadella Confidence: 0.9897626 | Subject: Microsoft | Object: John W. Thompson Confidence: 0.9889399 | Subject: the Online Services Division | Object: Nadella Confidence: 0.98870224 | Subject: Indian Administrative Service | Object: Bukkapuram Nadella Yugandhar Confidence: 0.9879153 | Subject: CEO[2][3 | Object: John W. Thompson Confidence: 0.9846148 | Subject: chairman.[4][5 | Object: Steve Ballmer Confidence: 0.97558105 | Subject: Consumer & Retail Research | Object: Erwan Rambourg Confidence: 0.9660339 | Subject: Sun Microsystems | Object: Nadella Confidence: 0.96005946 | Subject: 2024Bill & Melinda Gates Foundation | Object: ByAlan OhnsmanForbes Confidence: 0.8954526 | Subject: Consumer & Retail Research | Object: Karenann Terrell Confidence: 0.8811144 | Subject: Gates Ventures Technology | Object: 2021)Children3Parents Bill Gates Sr Confidence: 0.8068683 | Subject: Microsoft | Object: Satya Nadella Confidence: 0.7568969 | Subject: University of Wisconsin | Object: Anupama Nadella Confidence: 0.72998196 | Subject: the Server & Tools Division | Object: Nadella Total # of iterations = 2