Triple

T15199519
Position Surface form Disambiguated ID Type / Status
Subject Separate Lies E363228 entity
Predicate productionCompany P490 FINISHED
Object Celador Films E243951 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: Celador Films | Statement: [Separate Lies, productionCompany, Celador Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Celador Films
Context triple: [Separate Lies, productionCompany, Celador Films]
  • A. Celador Films chosen
    Celador Films is a British film production company best known for co-producing the Academy Award–winning drama "Slumdog Millionaire."
  • B. Cinelou Films
    Cinelou Films is an independent American film production company known for producing character-driven dramas such as the 2014 film "Cake."
  • C. Athos Films
    Athos Films is a French film distribution company known for handling the release of notable art-house and New Wave films.
  • D. Candescent Films
    Candescent Films is an independent film production company known for backing socially conscious and character-driven documentaries and narrative features.
  • E. Tornasol Films
    Tornasol Films is a Spanish film production company known for co-producing acclaimed international films, including Ken Loach’s award-winning drama "The Wind That Shakes the Barley."
  • 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e006b476208190a5119710c518bb1f completed April 15, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed3363f688190a5c728846bea743a completed May 9, 2026, 6:24 a.m.
Created at: April 10, 2026, 3:10 a.m.