Triple

T17026071
Position Surface form Disambiguated ID Type / Status
Subject My Lucky Stars E413065 entity
Predicate hasCastMember P2308 FINISHED
Object Stanley Fung 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: Stanley Fung | Statement: [My Lucky Stars, hasCastMember, Stanley Fung]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stanley Fung
Context triple: [My Lucky Stars, hasCastMember, Stanley Fung]
  • A. Stanley Fung chosen
    Stanley Fung is a Hong Kong actor and filmmaker best known as a member of the "Lucky Stars" ensemble in 1980s action-comedy films.
  • B. Philip Kwok
    Philip Kwok is a Hong Kong martial arts actor and stuntman best known as a member of the Venom Mob in classic Shaw Brothers kung fu films.
  • C. Stanley Tang
    Stanley Tang is a technology entrepreneur best known as a co-founder of the food delivery platform DoorDash.
  • D. Donald Tsang
    Donald Tsang is a Hong Kong politician who served as the second Chief Executive of Hong Kong from 2005 to 2012.
  • E. Chow Kwok-ping
    Chow Kwok-ping is an individual notable for bearing the surname Chow, though specific widely recognized public details about his life or achievements are not well documented.
  • 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.