Triple

T20996383
Position Surface form Disambiguated ID Type / Status
Subject Barry Lyndon E517159 entity
Predicate productionCompany P490 FINISHED
Object Hawk 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: Hawk Films | Statement: [Barry Lyndon, productionCompany, Hawk Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hawk Films
Context triple: [Barry Lyndon, productionCompany, Hawk Films]
  • A. Hawk Films chosen
    Hawk Films was a British film production company best known for producing several of Stanley Kubrick’s films, including "The Shining."
  • B. Eagle-Lion Films
    Eagle-Lion Films was an American film production and distribution company active in the late 1940s, best known for its low-budget features and notable film noir titles.
  • C. Eagle Films
    Eagle Films is a film production company known for backing cinematic projects such as the war drama "Zaytoun."
  • D. Kestrel Films
    Kestrel Films is a British film production company best known for producing Ken Loach’s acclaimed 1969 drama "Kes."
  • E. Rook Films
    Rook Films is a British independent film production company known for its distinctive, often surreal and genre-bending movies.
  • 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_69e0b5006e2881909fc2383f841740cc completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc21838081909872eed21bc12a08 completed April 21, 2026, 4:25 a.m.
Created at: April 16, 2026, 1:50 p.m.