Triple
T974270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harvey Weinstein |
E21014
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
India Pearl Weinstein
India Pearl Weinstein is a daughter of former Hollywood film producer Harvey Weinstein.
|
E180591
|
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: India Pearl Weinstein | Statement: [Harvey Weinstein, hasChild, India Pearl Weinstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: India Pearl Weinstein Context triple: [Harvey Weinstein, hasChild, India Pearl Weinstein]
-
A.
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.
-
B.
Lily Weinstein
Lily Weinstein is one of the daughters of disgraced Hollywood film producer Harvey Weinstein.
-
C.
Emma Weinstein
Emma Weinstein is one of the daughters of disgraced Hollywood film producer Harvey Weinstein.
-
D.
Tatiana Schlossberg
Tatiana Schlossberg is an American journalist and author, known for her environmental reporting and as a member of the Kennedy family.
-
E.
Deborah Waxman
Deborah Waxman is an American rabbi and scholar who serves as a leading contemporary voice and institutional leader within Reconstructionist Judaism.
- 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: India Pearl Weinstein Triple: [Harvey Weinstein, hasChild, India Pearl Weinstein]
Generated description
India Pearl Weinstein is a daughter of former Hollywood film producer Harvey Weinstein.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: India Pearl Weinstein Target entity description: India Pearl Weinstein is a daughter of former Hollywood film producer Harvey Weinstein.
-
A.
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.
-
B.
Lily Weinstein
Lily Weinstein is one of the daughters of disgraced Hollywood film producer Harvey Weinstein.
-
C.
Emma Weinstein
Emma Weinstein is one of the daughters of disgraced Hollywood film producer Harvey Weinstein.
-
D.
Tatiana Schlossberg
Tatiana Schlossberg is an American journalist and author, known for her environmental reporting and as a member of the Kennedy family.
-
E.
Deborah Waxman
Deborah Waxman is an American rabbi and scholar who serves as a leading contemporary voice and institutional leader within Reconstructionist Judaism.
- 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_69ad467e48e0819099f159a2f0aa03b0 |
completed | March 8, 2026, 9:50 a.m. |
| NEDg | Description generation | batch_69ad47235fb08190b53b66b0af859a47 |
completed | March 8, 2026, 9:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad4775b6748190805f2bcbe091abb2 |
completed | March 8, 2026, 9:55 a.m. |
Created at: March 1, 2026, 7:40 p.m.