Triple

T2369166
Position Surface form Disambiguated ID Type / Status
Subject Peter Jackson E46048 entity
Predicate founded P104 FINISHED
Object WingNut Films E46058 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: WingNut Films | Statement: [Peter Jackson, founded, WingNut Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WingNut Films
Context triple: [Peter Jackson, founded, WingNut Films]
  • A. WingNut Films chosen
    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.
  • B. 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."
  • C. Overture Films
    Overture Films was an American independent film production and distribution company active in the late 2000s, known for releasing a range of mid-budget and specialty films.
  • D. Hartswood Films
    Hartswood Films is a British television production company best known internationally for creating the hit detective series "Sherlock."
  • E. Rumble Films
    Rumble Films is an American film production company known for producing independent and genre-driven movies.
  • 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_69a88a145268819083e2736cb835c696 completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abc76dcaa481908567a068bd61e5ad completed March 7, 2026, 6:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69aea89eb46481909cc01202839d417f completed March 9, 2026, 11:01 a.m.
Created at: March 4, 2026, 7:56 p.m.