Triple
T10696636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harvey Weinstein |
E252159
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Ruth Weinstein |
E252159
|
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: Ruth Weinstein | Statement: [Harvey Weinstein, child, Ruth Weinstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ruth Weinstein Context triple: [Harvey Weinstein, child, Ruth Weinstein]
-
A.
Ruth Weinstein
chosen
Ruth Weinstein is one of the children of disgraced American film producer Harvey Weinstein.
-
B.
Ruth Wenger
Ruth Wenger was a Swiss singer and writer best known for her brief marriage to Nobel Prize–winning author Hermann Hesse.
-
C.
Ruth Kobart
Ruth Kobart was an American character actress known for her work on stage, film, and television, including roles in Broadway productions and various TV series.
-
D.
Leonore Cohn
Leonore Cohn, later known as Leonore Annenberg, was an American philanthropist and arts patron who served as Chief of Protocol of the United States under President Ronald Reagan.
-
E.
Evelyn Meltzer
Evelyn Meltzer is an individual notable enough to be recognized as a prominent bearer of the surname Meltzer.
- 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd89390c8190969ab2b4a79d5818 |
completed | April 9, 2026, 1:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23b436efc819080022105e3f5f2e1 |
completed | April 17, 2026, 1:53 p.m. |
Created at: April 8, 2026, 9:11 p.m.