Triple

T15982233
Position Surface form Disambiguated ID Type / Status
Subject Barton Fink E387603 entity
Predicate productionCompany P490 FINISHED
Object Circle Films E1130610 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: Circle Films | Statement: [Barton Fink, productionCompany, Circle Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Circle Films
Context triple: [Barton Fink, productionCompany, Circle Films]
  • A. Circle Films chosen
    Circle Films was an American independent film distribution company known for releasing influential low-budget and art-house films in the 1980s, including early works by the Coen brothers.
  • B. Element Films
    Element Films is a film production company known for working on acclaimed independent and politically themed cinema such as Ken Loach’s "The Wind That Shakes the Barley."
  • C. Imagine Films
    Imagine Films is a film production division associated with the American entertainment company Imagine Entertainment, known for developing and producing motion pictures.
  • D. Cascade Films
    Cascade Films is a film production company known for developing and producing independent feature films.
  • E. ABC Circle Films
    ABC Circle Films was a television production company associated with ABC that produced made-for-TV movies and specials.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15755b5548190acfa29eecb11e675 completed April 16, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3cb0ed48190b35c19f3961f183b completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:54 a.m.