Triple

T20076608
Position Surface form Disambiguated ID Type / Status
Subject Arctic (2018 film) E499882 entity
Predicate productionCompany P490 FINISHED
Object Armory 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: Armory Films | Statement: [Arctic (2018 film), productionCompany, Armory Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Armory Films
Context triple: [Arctic (2018 film), productionCompany, Armory Films]
  • A. Armory Films chosen
    Armory Films is an American film production company known for financing and producing independent and genre-driven feature films.
  • B. Alliance Films
    Alliance Films was a major Canadian film distribution and production company known for releasing a wide range of independent and international movies in Canada and other markets.
  • C. Vistar Films
    Vistar Films is a film production company best known for its involvement in the making of the 1985 horror-comedy classic "Fright Night."
  • D. Monumental Pictures
    Monumental Pictures is a British film and television production company known for producing high-profile dramas such as the period series "Harlots."
  • E. Monumental Pictures
    Monumental Pictures is the fictional Hollywood film studio featured in the classic musical film "Singin' in the Rain."
  • 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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6643bcfd48190893abd3734f15cd3 completed April 20, 2026, 5:37 p.m.
Created at: April 11, 2026, 3:40 p.m.