Triple

T4419300
Position Surface form Disambiguated ID Type / Status
Subject King Kong (2005 film) E95057 entity
Predicate productionCompany P490 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: [King Kong (2005 film), productionCompany, WingNut Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WingNut Films
Context triple: [King Kong (2005 film), productionCompany, 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. Shoebox Films
    Shoebox Films is a British film production company known for producing independent and auteur-driven movies, including the 2019 thriller "Serenity."
  • C. 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."
  • D. Figment Films
    Figment Films is a British film production company best known for producing the 2000 adventure drama film "The Beach."
  • E. Kilter Films
    Kilter Films is a television and film production company best known for creating the acclaimed sci-fi series "Westworld."
  • 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_69b3453a36908190b95a79a297ca083c completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3551e7c6c819090fa5dfb5ac58e4c completed March 13, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69b5f623c958819087630c16b6ac8cb8 completed March 14, 2026, 11:58 p.m.
Created at: March 12, 2026, 11:29 p.m.