Triple

T17025649
Position Surface form Disambiguated ID Type / Status
Subject The Magnificent Butcher E413056 entity
Predicate director P255 FINISHED
Object Yuen Woo-ping NE NERFINISHED

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: Yuen Woo-ping | Statement: [The Magnificent Butcher, director, Yuen Woo-ping]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yuen Woo-ping
Context triple: [The Magnificent Butcher, director, Yuen Woo-ping]
  • A. Yuen Woo-ping chosen
    Yuen Woo-ping is a renowned Hong Kong martial arts choreographer and film director best known for his influential action work in classics like "Drunken Master," "The Matrix" trilogy, and "Crouching Tiger, Hidden Dragon."
  • B. Yam Kim-fai
    Yam Kim-fai was a legendary Cantonese opera star renowned for her charismatic male "sheng" roles and lasting influence on Hong Kong’s performing arts.
  • C. Fong Chi-keung
    Fong Chi-keung is a Hong Kong screenwriter best known for his work on action films, including the Jackie Chan hit "Rumble in the Bronx."
  • D. Lee Ka Lau
    Lee Ka Lau is a Canadian entrepreneur and engineer best known as a co-founder of the graphics chip company ATI Technologies.
  • E. Lok Fu
    Lok Fu is a residential neighborhood and transport hub in Hong Kong known for its public housing estates, shopping centre, and MTR station.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e3d5d46a5081908bc5681621dd8534 completed April 18, 2026, 7:04 p.m.
Created at: April 10, 2026, 5:33 a.m.