Triple

T10737507
Position Surface form Disambiguated ID Type / Status
Subject Queen and Country E253230 entity
Predicate productionCompany P490 FINISHED
Object Free Range Films E877482 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: Free Range Films | Statement: [Queen and Country, productionCompany, Free Range Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Free Range Films
Context triple: [Queen and Country, productionCompany, Free Range Films]
  • A. Free Range Films chosen
    Free Range Films is a film production company known for producing the 2006 British drama "Venus."
  • B. Beyond Films
    Beyond Films is an Australian film distribution and production company known for handling a range of independent and international titles.
  • C. Greenpoint Films
    Greenpoint Films is a film production company best known for producing the acclaimed period drama "Enchanted April."
  • D. Adopt Films
    Adopt Films is an independent film distribution company known for releasing art-house and international cinema in the United States.
  • E. Sketch Films
    Sketch Films is a television production company best known for its work on the supernatural drama series "Sleepy Hollow."
  • 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d710410a04819090036597ac0d271c completed April 9, 2026, 2:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69de22dce1cc8190a3511d86e8bd6d3e completed April 14, 2026, 11:19 a.m.
Created at: April 8, 2026, 9:14 p.m.