Triple

T22838510
Position Surface form Disambiguated ID Type / Status
Subject Words and Pictures E566010 entity
Predicate productionCompany P490 FINISHED
Object Arclight 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: Arclight Films | Statement: [Words and Pictures, productionCompany, Arclight Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arclight Films
Context triple: [Words and Pictures, productionCompany, Arclight Films]
  • A. Arclight Films chosen
    Arclight Films is an international film production and sales company known for financing and distributing independent and genre films worldwide.
  • B. Lightstorm Entertainment
    Lightstorm Entertainment is a film production company founded by director James Cameron, known for producing major blockbuster movies such as Titanic and Avatar.
  • 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. Alcor Films
    Alcor Films is a film production company best known for producing the 1994 legal thriller "The Client."
  • E. Quadrant Pictures
    Quadrant Pictures is a film production company known for working on the science fiction movie "Chaos Walking."
  • 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_69e245869e188190a196584f36e682da completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e8244dc819089c0a7525fb512ab completed April 29, 2026, 3:44 a.m.
Created at: April 17, 2026, 3:35 p.m.