Triple

T8450788
Position Surface form Disambiguated ID Type / Status
Subject World War Z E199792 entity
Predicate productionCompany P490 FINISHED
Object GK Films E130832 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: GK Films | Statement: [World War Z, productionCompany, GK Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GK Films
Context triple: [World War Z, productionCompany, GK Films]
  • A. GK Films chosen
    GK Films is a British-American production company founded by producer Graham King, known for backing acclaimed films such as Argo, The Departed, and Bohemian Rhapsody.
  • B. Misher Films
    Misher Films is an American film production company known for producing a range of mainstream Hollywood movies, including the biographical sports comedy-drama "Fighting with My Family."
  • C. SKA Films
    SKA Films is a British film production company co-founded by director Matthew Vaughn, known for producing stylish crime and action movies such as "Layer Cake."
  • D. Nala Films
    Nala Films is an independent film production company known for financing and producing critically acclaimed feature films.
  • E. Maverick Films
    Maverick Films is a film production company known for backing independent and genre-driven movies, including the crime comedy-drama "Gridlock'd."
  • 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_69ca8318231881908fd1bc1c4d45d286 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe44815488190a912d63512e19af0 completed March 31, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1dd14484819082f0319455011a22 completed April 2, 2026, 7:42 a.m.
Created at: March 30, 2026, 6:09 p.m.