Triple
T7807507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harvey Weinstein |
E180591
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | India Pearl Weinstein |
E180591
|
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: India Pearl Weinstein | Statement: [Harvey Weinstein, child, India Pearl Weinstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: India Pearl Weinstein Context triple: [Harvey Weinstein, child, India Pearl Weinstein]
-
A.
India Pearl Weinstein
chosen
India Pearl Weinstein is a daughter of former Hollywood film producer Harvey Weinstein.
-
B.
Rose Weissman
Rose Weissman is a refined, strong-willed Upper West Side matriarch and the image-conscious mother of Miriam "Midge" Maisel in the period comedy-drama series "The Marvelous Mrs. Maisel."
-
C.
Miriam Weinstein
Miriam Weinstein is the mother of film producer Harvey Weinstein, whose first name inspired the name of the film company Miramax.
-
D.
Natalie Weinstein-Bacal
Natalie Weinstein-Bacal was the mother of iconic American actress Lauren Bacall and played a formative role in her early life and upbringing.
-
E.
Lisa Weinstein
Lisa Weinstein is a film producer best known for her work on the acclaimed 1990 romantic fantasy drama "Ghost."
- 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_69ca827f6f148190beca4e245b993506 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf63b3ebc819088dcf4c58b80b18a |
completed | March 30, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5a3bd2e481908e3d3906755b5b7a |
completed | March 31, 2026, 5:23 a.m. |
Created at: March 30, 2026, 4:36 p.m.