Triple

T10195110
Position Surface form Disambiguated ID Type / Status
Subject District 9 E238141 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: [District 9, productionCompany, WingNut Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WingNut Films
Context triple: [District 9, 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. Freckle Films
    Freckle Films is a film and television production company founded by actress Jessica Chastain, known for developing female-driven and socially conscious projects.
  • E. Axon Films
    Axon Films is a film production company known for producing the movie "Milk."
  • 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_69ca84de1b208190bf17bb305b002605 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdedc7cc748190bceb8f657afcc054 completed April 2, 2026, 4:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d317dbfb7c819087aafc7161b14707 completed April 6, 2026, 2:18 a.m.
Created at: March 30, 2026, 9:13 p.m.