Triple

T19455456
Position Surface form Disambiguated ID Type / Status
Subject Prince of Darkness (1987 film) E486721 entity
Predicate stars P1956 FINISHED
Object Victor Wong 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: Victor Wong | Statement: [Prince of Darkness (1987 film), stars, Victor Wong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Victor Wong
Context triple: [Prince of Darkness (1987 film), stars, Victor Wong]
  • A. Victor Wong chosen
    Victor Wong was an American character actor known for his distinctive presence in films such as "The Last Emperor," "Big Trouble in Little China," and "Tremors."
  • B. Stephen Wong
    Stephen Wong is a technology entrepreneur best known as a founder of the software company Embarcadero Technologies.
  • C. Arthur Wong
    Arthur Wong is a renowned Hong Kong cinematographer known for his work on numerous action and martial arts films.
  • D. Russell Wong
    Russell Wong is an American actor and martial artist best known for his roles in action films and television series, often portraying skilled fighters or law enforcement characters.
  • E. Alan Leong
    Alan Leong is a Hong Kong barrister and pro-democracy politician known for his leadership in the Civic Party and his candidacy in the 2007 Chief Executive election.
  • 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633c2b1108190b492ca23487b91f8 completed April 20, 2026, 2:10 p.m.
Created at: April 10, 2026, 1:38 p.m.