Triple

T2389483
Position Surface form Disambiguated ID Type / Status
Subject Dimension Films E48906 entity
Predicate associatedPerson P2308 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: [Dimension Films, associatedPerson, Bob Weinstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bob Weinstein
Context triple: [Dimension Films, associatedPerson, 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. David Weisberg
    David Weisberg is a screenwriter best known for co-writing the action film "The Rock" and other Hollywood thrillers.
  • C. Richard Leibler
    Richard Leibler was an American mathematician and statistician best known for co-developing the Kullback–Leibler divergence, a fundamental concept in information theory and statistics.
  • D. Alan Baumgarten
    Alan Baumgarten is an American film editor known for his work on a variety of feature films and television projects.
  • E. Jonathan Levin
    Jonathan Levin is an American economist and academic leader known for his work in industrial organization and for serving as dean of Stanford Graduate School of Business.
  • 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_69a88aa5f63081908d07fd302029fcbd completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc7de1478819082238e8b8f88ed06 completed March 7, 2026, 6:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3d2ad588190a2cf3adab6a9404d completed March 9, 2026, 11:49 a.m.
Created at: March 4, 2026, 7:57 p.m.