Triple

T17026008
Position Surface form Disambiguated ID Type / Status
Subject Winners and Sinners E413064 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: [Winners and Sinners, editedBy, Peter Cheung]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Cheung
Context triple: [Winners and Sinners, 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. 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.
  • C. 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.
  • D. 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.
  • E. Peter Chan
    Peter Chan is an illustrator and concept artist best known for his influential visual design work on classic LucasArts adventure games.
  • 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.