Triple

T6249261
Position Surface form Disambiguated ID Type / Status
Subject Bob Weinstein E140004 entity
Predicate name P16 FINISHED
Object Bob Weinstein E140004 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: Bob Weinstein | Statement: [Bob Weinstein, name, Bob Weinstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bob Weinstein
Context triple: [Bob Weinstein, name, Bob Weinstein]
  • A. Bob Weinstein chosen
    Bob Weinstein is an American film producer and co-founder of Miramax Films and Dimension Films, known for producing numerous influential genre and independent movies.
  • B. Lee Weiner
    Lee Weiner is an American political activist best known as one of the Chicago Seven defendants charged with conspiracy and inciting riots during the 1968 Democratic National Convention protests.
  • C. Robert Weinbach
    Robert Weinbach is a film producer known for his work on independent genre movies, including the 2012 horror film "Shiver."
  • D. Larry Brezner
    Larry Brezner was an American film producer and talent manager known for producing popular comedies such as "Good Morning, Vietnam," "The 'Burbs," and "Ride Along."
  • E. Barry Eisenberg
    Barry Eisenberg is the father of former child actress Hallie Kate Eisenberg, known for her Pepsi commercials and film roles in the late 1990s and early 2000s.
  • 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_69c008b4858c819095b0199114a9a87b completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0633c5f2081909b0246e061f8a7d9 completed March 22, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c2441d4ad88190895237d834f5d9b8 completed March 24, 2026, 7:58 a.m.
Created at: March 22, 2026, 4:24 p.m.