Triple

T14805439
Position Surface form Disambiguated ID Type / Status
Subject Line of Duty E348021 entity
Predicate productionCompany P490 FINISHED
Object World Productions E860591 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: World Productions | Statement: [Line of Duty, productionCompany, World Productions]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: World Productions
Context triple: [Line of Duty, productionCompany, World Productions]
  • A. World Productions chosen
    World Productions is a British television production company known for creating acclaimed drama series such as Line of Duty and Bodyguard.
  • B. Company Productions
    Company Productions is a film production company best known for producing the acclaimed Tamil movie "Subramaniapuram."
  • C. Pacific Productions
    Pacific Productions is a television production company best known for producing the popular cooking and lifestyle series "The Pioneer Woman."
  • D. Love Productions
    Love Productions is a British television production company best known for creating and producing the hit baking competition series "The Great British Bake Off."
  • E. Sky Productions
    Sky Productions is a television production company best known for co-producing the action-packed drama series "Strike Back."
  • 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_69d822ea8b7c819097dfadf3d45545e6 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decf32666081908e84f985c47eb963 completed April 14, 2026, 11:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24c6b3008190a0fac1dace40361a completed May 8, 2026, 6 p.m.
Created at: April 10, 2026, 1:34 a.m.