Esther Wojcicki
E128364
Esther Wojcicki is an American journalist, educator, and author renowned for her innovative teaching methods and influence in media and technology education.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Esther Wojcicki canonical | 9 |
| Esther Wojcicki, journalist and educator | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1052208 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
Target entity: Esther Wojcicki Context triple: [Susan Wojcicki, parent, Esther Wojcicki]
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A.
Janet Wojcicki
Janet Wojcicki is an American epidemiologist and academic researcher known for her work in public health and nutrition.
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B.
Anne Wojcicki
Anne Wojcicki is an American entrepreneur and co-founder of the personal genomics and biotechnology company 23andMe.
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C.
Susan Wojcicki
Susan Wojcicki is an American technology executive best known for serving as the longtime CEO of YouTube and for being one of Google’s earliest employees and key advertising leaders.
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D.
Donna Zuckerberg
Donna Zuckerberg is a classicist, writer, and editor-in-chief of the online journal Eidolon, known for her work on how the classics are used in contemporary culture and online misogyny.
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E.
Sandy Lerner
Sandy Lerner is an American businesswoman and philanthropist best known as the co-founder of networking giant Cisco Systems and later as a supporter of animal welfare, sustainable agriculture, and literary scholarship.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Esther Wojcicki Target entity description: Esther Wojcicki is an American journalist, educator, and author renowned for her innovative teaching methods and influence in media and technology education.
-
A.
Janet Wojcicki
Janet Wojcicki is an American epidemiologist and academic researcher known for her work in public health and nutrition.
-
B.
Anne Wojcicki
Anne Wojcicki is an American entrepreneur and co-founder of the personal genomics and biotechnology company 23andMe.
-
C.
Susan Wojcicki
Susan Wojcicki is an American technology executive best known for serving as the longtime CEO of YouTube and for being one of Google’s earliest employees and key advertising leaders.
-
D.
Donna Zuckerberg
Donna Zuckerberg is a classicist, writer, and editor-in-chief of the online journal Eidolon, known for her work on how the classics are used in contemporary culture and online misogyny.
-
E.
Sandy Lerner
Sandy Lerner is an American businesswoman and philanthropist best known as the co-founder of networking giant Cisco Systems and later as a supporter of animal welfare, sustainable agriculture, and literary scholarship.
- F. None of above. chosen
Statements (49)
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Subject: Esther Wojcicki Description of subject: Esther Wojcicki is an American journalist, educator, and author renowned for her innovative teaching methods and influence in media and technology education.
Referenced by (10)
Full triples — surface form annotated when it differs from this entity's canonical label.