Triple

T18943770
Position Surface form Disambiguated ID Type / Status
Subject Finding Steve McQueen E463452 entity
Predicate productionCompany P490 FINISHED
Object Identity Films NE NERFINISHED

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: Identity Films | Statement: [Finding Steve McQueen, productionCompany, Identity Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Identity Films
Context triple: [Finding Steve McQueen, productionCompany, Identity Films]
  • A. Identity Films chosen
    Identity Films is a film production company known for producing feature films such as the crime drama "The Old Man and the Gun."
  • B. Integral Films
    Integral Films is a film production company known for working on projects such as David Cronenberg’s satirical drama "Maps to the Stars."
  • C. Dimension Films
    Dimension Films is an American film production and distribution company best known for releasing popular horror and genre franchises such as Scream and Scary Movie.
  • D. IMG Films
    IMG Films is a film distribution company known for handling the release of various international titles, including Michael Moore’s documentary "Where to Invade Next."
  • E. Frequency Films
    Frequency Films is a television production company known for producing series such as the science fiction drama "Debris."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcfec90481909e926be9767e5779 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d3ed847c8190a911a61673608a5c completed April 20, 2026, 7:21 a.m.
Created at: April 10, 2026, 11:59 a.m.