Triple

T22767617
Position Surface form Disambiguated ID Type / Status
Subject Legacy of Rage E563169 entity
Predicate editedBy P1954 FINISHED
Object Peter Cheung 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: Peter Cheung | Statement: [Legacy of Rage, editedBy, Peter Cheung]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Cheung
Context triple: [Legacy of Rage, editedBy, Peter Cheung]
  • A. Peter Cheung chosen
    Peter Cheung is a film editor best known for his work on martial arts movies, including Bruce Lee’s posthumously released film "Game of Death."
  • B. Alex Cheung
    Alex Cheung is a Hong Kong film director associated with the influential Hong Kong New Wave movement, known for his innovative and socially conscious cinema.
  • C. Peter Kwong
    Peter Kwong is an American character actor best known for his roles in genre films and television, including cult favorites from the 1980s and 1990s.
  • D. Peter Chan Lung
    Peter Chan Lung is a Hong Kong martial arts film actor and stunt performer known for his supporting roles in classic kung fu movies of the 1970s and 1980s.
  • E. Jim Cheung
    Jim Cheung is a British comic book artist best known for his detailed, dynamic work on major Marvel titles such as Young Avengers and various large-scale crossover events.
  • 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_69e24552e11c81909c2d61578a558bd7 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17a81d3348190b005a43a5e03d406 completed April 29, 2026, 3:26 a.m.
Created at: April 17, 2026, 3:27 p.m.