Triple

T22573983
Position Surface form Disambiguated ID Type / Status
Subject Digging for Fire E544344 entity
Predicate productionCompany P490 FINISHED
Object Forager Film Company 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: Forager Film Company | Statement: [Digging for Fire, productionCompany, Forager Film Company]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Forager Film Company
Context triple: [Digging for Fire, productionCompany, Forager Film Company]
  • A. Forager Film Company chosen
    Forager Film Company is an independent film production company known for producing the 2014 holiday drama "Happy Christmas."
  • B. Kestrel Films
    Kestrel Films is a British film production company best known for producing Ken Loach’s acclaimed 1969 drama "Kes."
  • C. Vinson Films
    Vinson Films is a film production company known for producing the 2019 horror-comedy thriller "Ready or Not."
  • D. Ferndale Films
    Ferndale Films is an Irish film production company best known for producing acclaimed dramas such as the Oscar-winning "My Left Foot."
  • E. Maddock Films
    Maddock Films is an Indian film production company known for backing popular Hindi movies across genres, including comedies, thrillers, and offbeat dramas.
  • 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_69e11e30d05481909df915354c89f0d6 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f15fea683c81908fbf9f171eed3341 completed April 29, 2026, 1:33 a.m.
Created at: April 16, 2026, 8:53 p.m.