Triple

T17024250
Position Surface form Disambiguated ID Type / Status
Subject Drunken Master E413022 entity
Predicate distributor P1951 FINISHED
Object Seasonal Film Corporation E1245658 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: Seasonal Film Corporation | Statement: [Drunken Master, distributor, Seasonal Film Corporation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seasonal Film Corporation
Context triple: [Drunken Master, distributor, Seasonal Film Corporation]
  • A. Seasonal Film Corporation chosen
    Seasonal Film Corporation was a Hong Kong film production company best known for producing influential martial arts movies during the late 1970s and 1980s.
  • B. World Film Company
    World Film Company was an early 20th-century American motion picture distribution and production company active during the silent film era.
  • C. Vistar Films
    Vistar Films is a film production company best known for its involvement in the making of the 1985 horror-comedy classic "Fright Night."
  • D. Vinson Films
    Vinson Films is a film production company known for producing the 2019 horror-comedy thriller "Ready or Not."
  • E. Triangle Film Corporation
    Triangle Film Corporation was an early 20th-century American motion picture studio known for producing silent films during the 1910s.
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d5d371148190a60d32a72abec09a completed April 18, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012334c3b48190b125ab926450c45b completed May 11, 2026, 12:30 a.m.
Created at: April 10, 2026, 5:33 a.m.