Triple
T6574110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harvey Weinstein |
E155514
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Emma Weinstein |
E155514
|
NE FINISHED |
How this triple was built (2 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, child, Emma Weinstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emma Weinstein Context triple: [Harvey Weinstein, child, Emma Weinstein]
-
A.
Emma Weinstein
chosen
Emma Weinstein is one of the daughters of disgraced Hollywood film producer Harvey Weinstein.
-
B.
Lisa Weinstein
Lisa Weinstein is a film producer best known for her work on the acclaimed 1990 romantic fantasy drama "Ghost."
-
C.
Hannah Weinstein
Hannah Weinstein was an American television and film producer best known for creating and producing the 1950s British TV series "The Adventures of Robin Hood" and for her support of blacklisted Hollywood writers.
-
D.
Rachel Leibowitz
Rachel Leibowitz is a person notable enough to be specifically cited as a bearer of the surname Leibowitz.
-
E.
Lily Weinstein
Lily Weinstein is one of the daughters of disgraced Hollywood film producer Harvey Weinstein.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c688151254819080387f87deab8fa7 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae7134708190a0355519d117ab9c |
completed | March 27, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cb9b0bfc8190b00904547a6178a1 |
completed | March 27, 2026, 6:25 p.m. |
Created at: March 27, 2026, 1:53 p.m.