Triple

T12358256
Position Surface form Disambiguated ID Type / Status
Subject Harold & Kumar Go to White Castle E294665 entity
Predicate productionCompany P490 FINISHED
Object Kingsgate Films
Kingsgate Films is a film production company best known for producing the stoner comedy "Harold & Kumar Go to White Castle."
E979150 NE FINISHED

How this triple was built (4 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 Go to White Castle, productionCompany, Kingsgate Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kingsgate Films
Context triple: [Harold & Kumar Go to White Castle, productionCompany, Kingsgate Films]
  • A. Kestrel Films
    Kestrel Films is a British film production company best known for producing Ken Loach’s acclaimed 1969 drama "Kes."
  • B. 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.
  • C. Rook Films
    Rook Films is a British independent film production company known for its distinctive, often surreal and genre-bending movies.
  • D. Celandine Films
    Celandine Films is a film production company best known for producing the British comedy film "Monty Python’s The Meaning of Life."
  • 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. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kingsgate Films
Triple: [Harold & Kumar Go to White Castle, productionCompany, Kingsgate Films]
Generated description
Kingsgate Films is a film production company best known for producing the stoner comedy "Harold & Kumar Go to White Castle."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kingsgate Films
Target entity description: Kingsgate Films is a film production company best known for producing the stoner comedy "Harold & Kumar Go to White Castle."
  • A. Kestrel Films
    Kestrel Films is a British film production company best known for producing Ken Loach’s acclaimed 1969 drama "Kes."
  • B. 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.
  • C. Rook Films
    Rook Films is a British independent film production company known for its distinctive, often surreal and genre-bending movies.
  • D. Celandine Films
    Celandine Films is a film production company best known for producing the British comedy film "Monty Python’s The Meaning of Life."
  • 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. chosen

Provenance (5 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_69d6ab6d8a4081908636601e69ddf262 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f8e64dc81908c2242c68cd1b86e completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62ab771448190b7f76e424ec0b4b5 completed May 2, 2026, 4:47 p.m.
NEDg Description generation batch_69f62eb8b8d081908508a06d495f995f completed May 2, 2026, 5:04 p.m.
NED2 Entity disambiguation (via description) batch_69f62f55324081908b855f7fbca7082b completed May 2, 2026, 5:07 p.m.
Created at: April 8, 2026, 9:54 p.m.