Triple

T17686160
Position Surface form Disambiguated ID Type / Status
Subject Bodies E440892 entity
Predicate productionCompany P490 FINISHED
Object Hat Trick Productions 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: Hat Trick Productions | Statement: [Bodies, productionCompany, Hat Trick Productions]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hat Trick Productions
Context triple: [Bodies, productionCompany, Hat Trick Productions]
  • A. Hat Trick Productions chosen
    Hat Trick Productions is a British independent television production company best known for creating and producing popular comedy and entertainment shows.
  • B. Tailwind Productions
    Tailwind Productions is a film and television production company known for developing and producing screen content, including the movie "Touch."
  • C. Mad Chance Productions
    Mad Chance Productions is a film and television production company known for backing major Hollywood projects, including the war drama "American Sniper."
  • D. Reckless Productions
    Reckless Productions is a film and media production company established by actor and filmmaker Adrian Grenier, known for developing socially conscious and independent projects.
  • E. 3 Ball Productions
    3 Ball Productions is a television production company known for creating and producing popular reality and unscripted series in the United States.
  • 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_69d8b9e940b081908b862bb0e6e89b0d completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47047d90c8190a172201f3de6db87 completed April 19, 2026, 6:03 a.m.
Created at: April 10, 2026, 10:02 a.m.