Triple

T4035680
Position Surface form Disambiguated ID Type / Status
Subject Person of Interest E83821 entity
Predicate productionCompany P490 FINISHED
Object Kilter Films E315695 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: Kilter Films | Statement: [Person of Interest, productionCompany, Kilter Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kilter Films
Context triple: [Person of Interest, productionCompany, Kilter Films]
  • A. Kilter Films chosen
    Kilter Films is a television and film production company best known for creating the acclaimed sci-fi series "Westworld."
  • B. Celandine Films
    Celandine Films is a film production company best known for producing the British comedy film "Monty Python’s The Meaning of Life."
  • C. WingNut Films
    WingNut Films is a New Zealand-based film production company founded by Peter Jackson, best known for producing large-scale fantasy and adventure films including The Lord of the Rings trilogy.
  • D. See-Saw Films
    See-Saw Films is a British-Australian film and television production company known for acclaimed works such as the Academy Award–winning drama "The King’s Speech."
  • E. Figment Films
    Figment Films is a British film production company best known for producing the 2000 adventure drama film "The Beach."
  • 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_69aed92f7cf0819098e0539bdcc3767f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb132f6c8190937acd35a6a5a9e4 completed March 9, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b556415ebc8190a528c7e22dbf70df completed March 14, 2026, 12:36 p.m.
Created at: March 9, 2026, 3:36 p.m.