Triple

T18575041
Position Surface form Disambiguated ID Type / Status
Subject Risk E453962 entity
Predicate productionCompany P490 FINISHED
Object Praxis 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: Praxis Films | Statement: [Risk, productionCompany, Praxis Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Praxis Films
Context triple: [Risk, productionCompany, Praxis Films]
  • A. Praxis Films chosen
    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.
  • B. Aquarius Films
    Aquarius Films is an Australian film and television production company known for creating distinctive, character-driven screen content for both local and international audiences.
  • C. Paradise Films
    Paradise Films is a film production company known for working on international art-house cinema such as Theo Angelopoulos’s "Ulysses' Gaze."
  • D. Cinelou Films
    Cinelou Films is an independent American film production company known for producing character-driven dramas such as the 2014 film "Cake."
  • E. Athos Films
    Athos Films is a French film distribution company known for handling the release of notable art-house and New Wave films.
  • 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_69d8d38974308190a9174430ef256b73 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e543c8c0608190afc99235006bf87f completed April 19, 2026, 9:06 p.m.
Created at: April 10, 2026, 11:43 a.m.