Triple

T15047913
Position Surface form Disambiguated ID Type / Status
Subject Freddie Baxter E379277 entity
Predicate productionCompany P490 FINISHED
Object Red Production Company E71033 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: Red Production Company | Statement: [Freddie Baxter, productionCompany, Red Production Company]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Red Production Company
Context triple: [Freddie Baxter, productionCompany, Red Production Company]
  • A. Red Production Company chosen
    Red Production Company is a British television production company known for creating acclaimed drama series, including the groundbreaking LGBTQ+ show "Queer as Folk."
  • B. Pacific Productions
    Pacific Productions is a television production company best known for producing the popular cooking and lifestyle series "The Pioneer Woman."
  • C. Sunflower Productions
    Sunflower Productions is a film production company known for producing the historical drama "The New World."
  • D. Central Productions
    Central Productions is the television production company best known for producing the satirical news program "The Daily Show."
  • E. Central Productions
    Central Productions is a television production company best known for producing the comedic historical series "Drunk History."
  • 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_69d85cd64d108190853797a95c11cc45 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69deda8e64e48190873104a02a676ff3 completed April 15, 2026, 12:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9de73614819098b7a88624407d0e completed May 9, 2026, 2:37 a.m.
Created at: April 10, 2026, 3 a.m.