Triple

T10368139
Position Surface form Disambiguated ID Type / Status
Subject Bad Santa E244308 entity
Predicate producer P490 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: [Bad Santa, producer, Bob Weinstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bob Weinstein
Context triple: [Bad Santa, producer, 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. Rob Wasserman
    Rob Wasserman was an American Grammy-winning bassist and composer known for his innovative solo work and collaborations with artists such as Bob Weir, Lou Reed, and Elvis Costello.
  • C. 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.
  • D. Robert Weinbach
    Robert Weinbach is a film producer known for his work on independent genre movies, including the 2012 horror film "Shiver."
  • E. 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."
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e97106448190a075948e63184f47 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d79550b2ec8190ada086ddfeb398af completed April 9, 2026, 12:02 p.m.
Created at: April 6, 2026, 12:01 p.m.