Triple

T14752200
Position Surface form Disambiguated ID Type / Status
Subject Foxcatcher E346636 entity
Predicate productionCompany P490 FINISHED
Object Annapurna Pictures E244440 NE FINISHED

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: Annapurna Pictures | Statement: [Foxcatcher, productionCompany, Annapurna Pictures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Annapurna Pictures
Context triple: [Foxcatcher, productionCompany, Annapurna Pictures]
  • A. Annapurna Pictures chosen
    Annapurna Pictures is an American film production company known for backing critically acclaimed, auteur-driven movies such as "Her," "Zero Dark Thirty," and "American Hustle."
  • B. Everest Pictures
    Everest Pictures is a film production company known for producing the psychological drama "David and Lisa."
  • C. Benaroya Pictures
    Benaroya Pictures is an independent film production company known for financing and producing a range of critically acclaimed and commercially successful feature films.
  • D. Troika Pictures
    Troika Pictures is a film production company known for producing feature films such as the thriller "The Call" (2013).
  • 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 (3 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7d40efc8190bb1be34c19a2b57c completed April 14, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb9a56a08190b6a178cd930a072d completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:30 a.m.