Triple

T18510106
Position Surface form Disambiguated ID Type / Status
Subject Halloween (2018 film) E452315 entity
Predicate productionCompany P490 FINISHED
Object Trancas International 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: Trancas International Films | Statement: [Halloween (2018 film), productionCompany, Trancas International Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trancas International Films
Context triple: [Halloween (2018 film), productionCompany, Trancas International Films]
  • A. Trancas International Films chosen
    Trancas International Films is a film production company best known for producing entries in the Halloween horror franchise.
  • B. Tornasol Films
    Tornasol Films is a Spanish film production company known for co-producing acclaimed international films, including Ken Loach’s award-winning drama "The Wind That Shakes the Barley."
  • C. Athos Films
    Athos Films is a French film distribution company known for handling the release of notable art-house and New Wave films.
  • D. Xingu Films
    Xingu Films is a film production company known for producing independent and art-house cinema, including the movie "Moon."
  • E. Praxis Films
    Praxis Films is an independent film production company best known for producing Laura Poitras’s Oscar-winning documentary "Citizenfour" about Edward Snowden and NSA surveillance.
  • 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_69d8d386df84819092355ebb260d848e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e533457e608190988304bf8bc2db1c completed April 19, 2026, 7:55 p.m.
Created at: April 10, 2026, 11:36 a.m.