Triple

T17024268
Position Surface form Disambiguated ID Type / Status
Subject Drunken Master E413022 entity
Predicate alsoKnownAs P39 FINISHED
Object Jui Kuen E931914 NE FINISHED

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: Jui Kuen | Statement: [Drunken Master, alsoKnownAs, Jui Kuen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jui Kuen
Context triple: [Drunken Master, alsoKnownAs, Jui Kuen]
  • A. Wing Chau
    Wing Chau is a United States Marshal who serves as the chief federal law enforcement officer for the District of Rhode Island.
  • B. Wing Chun chosen
    Wing Chun is a Chinese close-range martial art known for its efficient, direct techniques and emphasis on simultaneous attack and defense, famously studied by Bruce Lee.
  • C. Jeet Kune Do
    Jeet Kune Do is a hybrid martial arts philosophy founded by Bruce Lee that emphasizes practicality, efficiency, and personal expression in combat.
  • D. Heihu Quan
    Heihu Quan is the pinyin romanization of Black Tiger Spring, a famous natural spring in Jinan, China.
  • E. Hapkido
    Hapkido is a Korean martial art that emphasizes joint locks, throws, dynamic kicking, and circular redirection of an opponent’s force for self-defense.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69e3d5d371148190a60d32a72abec09a completed April 18, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b514de481909c78c17a3014b468 completed May 10, 2026, 11:57 p.m.
Created at: April 10, 2026, 5:33 a.m.