Triple

T10495354
Position Surface form Disambiguated ID Type / Status
Subject Boomers E247524 entity
Predicate producer P490 FINISHED
Object Hat Trick Productions E865413 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: Hat Trick Productions | Statement: [Boomers, producer, Hat Trick Productions]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hat Trick Productions
Context triple: [Boomers, producer, 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. 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.
  • D. 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.
  • E. Quad Productions
    Quad Productions is a French film and advertising production company known for creating high-profile commercials and feature films.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5098be488819083d614f528cd82fb completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d933d4b63081909ad297038fb74bed completed April 10, 2026, 5:31 p.m.
Created at: April 6, 2026, 12:24 p.m.