Triple
T974269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harvey Weinstein |
E21014
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Emma Weinstein
Emma Weinstein is one of the daughters of disgraced Hollywood film producer Harvey Weinstein.
|
E155514
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Emma Weinstein | Statement: [Harvey Weinstein, hasChild, Emma Weinstein]
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.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Emma Weinstein Triple: [Harvey Weinstein, hasChild, Emma Weinstein]
Generated description
Emma Weinstein is one of the daughters of disgraced Hollywood film producer Harvey Weinstein.
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
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a493c2b62c8190b616351789ec47f8 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b460a5c0819087b03dfb8a3af2c2 |
completed | March 1, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acce53fd1c81909b3715231ad09b91 |
completed | March 8, 2026, 1:18 a.m. |
| NEDg | Description generation | batch_69accef1f294819093f463001ae8796b |
completed | March 8, 2026, 1:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69accf59a4e48190bfe11b97c4d33913 |
completed | March 8, 2026, 1:22 a.m. |
Created at: March 1, 2026, 7:40 p.m.