Triple

T17024305
Position Surface form Disambiguated ID Type / Status
Subject Police Story E413023 entity
Predicate starsCharacter P12208 FINISHED
Object Chan Ka-kui E740385 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: Chan Ka-kui | Statement: [Police Story, starsCharacter, Chan Ka-kui]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chan Ka-kui
Context triple: [Police Story, starsCharacter, Chan Ka-kui]
  • A. Ng Yu-sum
    Ng Yu-sum is the birth name of John Woo, the influential Hong Kong film director known for his stylized action cinema and heroic bloodshed films.
  • B. Yu Lik-wai
    Yu Lik-wai is a Hong Kong cinematographer and film director best known for his long-time collaboration with Chinese auteur Jia Zhangke on critically acclaimed art-house films.
  • C. Eric Tsang chosen
    Eric Tsang is a veteran Hong Kong actor, comedian, and film producer known for his prolific career in Cantonese cinema and television.
  • D. Cho Wai-Kei
    Cho Wai-Kei is a Hong Kong cinematographer best known for his work on classic martial arts films, including the influential Shaw Brothers movie "Five Deadly Venoms."
  • E. Chow Kwai Lam
    Chow Kwai Lam was a Malaysian football coach and former player known for managing several prominent Malaysian clubs and contributing significantly to the development of local football.
  • 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_6a0148222034819089474594ee351b05 completed May 11, 2026, 3:08 a.m.
Created at: April 10, 2026, 5:33 a.m.