Emma Weinstein
E155514
Emma Weinstein is one of the daughters of disgraced Hollywood film producer Harvey Weinstein.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Emma Weinstein canonical | 4 |
How this entity was disambiguated
This entity first appeared as the object of triple T974269 — 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.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emma Weinstein Context triple: [Harvey Weinstein, hasChild, Emma Weinstein]
-
A.
Lily Weinstein
Lily Weinstein is one of the daughters of disgraced Hollywood film producer Harvey Weinstein.
-
B.
Abby Joseph Cohen
Abby Joseph Cohen is an American economist and former Goldman Sachs partner renowned for her influential stock market forecasts and commentary on U.S. equity markets.
-
C.
Nina Bernstein
Nina Bernstein is the daughter of renowned American composer and conductor Leonard Bernstein, known for helping preserve and promote her father's musical legacy.
-
D.
Suzanne Goldberg
Suzanne Goldberg is a prominent civil rights lawyer and legal scholar known for her work on free speech and equality issues in the United States.
-
E.
Suzanne Goldberg
Suzanne Goldberg is known as the wife of prominent 1960s Free Speech Movement leader Mario Savio.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Emma Weinstein Target entity description: Emma Weinstein is one of the daughters of disgraced Hollywood film producer Harvey Weinstein.
-
A.
Lily Weinstein
Lily Weinstein is one of the daughters of disgraced Hollywood film producer Harvey Weinstein.
-
B.
Abby Joseph Cohen
Abby Joseph Cohen is an American economist and former Goldman Sachs partner renowned for her influential stock market forecasts and commentary on U.S. equity markets.
-
C.
Nina Bernstein
Nina Bernstein is the daughter of renowned American composer and conductor Leonard Bernstein, known for helping preserve and promote her father's musical legacy.
-
D.
Suzanne Goldberg
Suzanne Goldberg is known as the wife of prominent 1960s Free Speech Movement leader Mario Savio.
-
E.
Suzanne Goldberg
Suzanne Goldberg is a prominent civil rights lawyer and legal scholar known for her work on free speech and equality issues in the United States.
- F. None of above. chosen
Statements (8)
| Predicate | Object |
|---|---|
| instanceOf |
human
ⓘ
human ⓘ |
| child | Emma Weinstein self-linksurface differs ⓘ |
| father | Harvey Weinstein ⓘ |
| hasReputation | disgraced ⓘ |
| notableFor | Hollywood film production ⓘ |
| occupation | film producer ⓘ |
| sexOrGender | female ⓘ |
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.
Instruction
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.
Input
Subject: Emma Weinstein Description of subject: Emma Weinstein is one of the daughters of disgraced Hollywood film producer Harvey Weinstein.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
Harvey Weinstein