Triple

T12402368
Position Surface form Disambiguated ID Type / Status
Subject Harold & Kumar Escape from Guantanamo Bay E296288 entity
Predicate productionCompany P490 FINISHED
Object Kingsgate Films E979150 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: Kingsgate Films | Statement: [Harold & Kumar Escape from Guantanamo Bay, productionCompany, Kingsgate Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kingsgate Films
Context triple: [Harold & Kumar Escape from Guantanamo Bay, productionCompany, Kingsgate Films]
  • A. Kingsgate Films chosen
    Kingsgate Films is a film production company best known for producing the stoner comedy "Harold & Kumar Go to White Castle."
  • B. Kestrel Films
    Kestrel Films is a British film production company best known for producing Ken Loach’s acclaimed 1969 drama "Kes."
  • C. Lion's Gate Films
    Lion's Gate Films is an American independent film production and distribution company known for releasing a wide range of arthouse and genre films.
  • D. Rook Films
    Rook Films is a British independent film production company known for its distinctive, often surreal and genre-bending movies.
  • E. Celandine Films
    Celandine Films is a film production company best known for producing the British comedy film "Monty Python’s The Meaning of Life."
  • 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d477004819095e65ef6f70c69d9 completed April 10, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63484c6808190a71d24f8ee3a7e15 completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:55 p.m.