Triple

T17026102
Position Surface form Disambiguated ID Type / Status
Subject Martial Law E413066 entity
Predicate mainCharacter P1183 FINISHED
Object Sammo Law 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: Sammo Law | Statement: [Martial Law, mainCharacter, Sammo Law]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sammo Law
Context triple: [Martial Law, mainCharacter, Sammo Law]
  • A. Sammo Hung Kam-bo chosen
    Sammo Hung Kam-bo is a renowned Hong Kong actor, martial artist, director, and action choreographer known for his influential work in martial arts cinema and collaborations with Jackie Chan.
  • B. Jackie Chan
    Jackie Chan is a Hong Kong martial artist, actor, stuntman, and filmmaker renowned worldwide for his acrobatic fighting style, innovative stunts, and blend of action and comedy in films.
  • C. 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.
  • D. Gordon Liu
    Gordon Liu is a renowned Hong Kong martial arts actor and kung fu film star, best known for classics like "The 36th Chamber of Shaolin" and his roles in Quentin Tarantino's "Kill Bill" films.
  • E. Man Choi
    Man Choi is a bumbling yet brave Taoist disciple and comic sidekick in the Hong Kong horror-comedy film "Mr. Vampire."
  • 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.