Triple

T22851836
Position Surface form Disambiguated ID Type / Status
Subject Chinese martial arts E566373 entity
Predicate hasSubclass P1244 FINISHED
Object Shaolin kung fu 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: Shaolin kung fu | Statement: [Chinese martial arts, hasSubclass, Shaolin kung fu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shaolin kung fu
Context triple: [Chinese martial arts, hasSubclass, Shaolin kung fu]
  • A. Shaolin Kung Fu chosen
    Shaolin Kung Fu is a historic Chinese martial arts tradition renowned for its rigorous physical training, intricate techniques, and deep roots in Chan (Zen) Buddhism.
  • B. Hung Gar kung fu
    Hung Gar kung fu is a traditional Southern Chinese martial art known for its powerful stances, strong hand techniques, and roots in the Shaolin fighting system.
  • C. Wing Chun
    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.
  • D. Shaolin Rou Quan
    Shaolin Rou Quan is a soft, flowing substyle of Shaolin martial arts that emphasizes internal energy, circular movements, and relaxed power.
  • E. Ji Shaolin
    Ji Shaolin is a Chinese mathematician known as a student of the prominent analyst Peng Shige.
  • 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_69e2458750b481908a8e4cf4609cc6cf completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17eb9a5b8819091cbb4ac42fbf778 completed April 29, 2026, 3:44 a.m.
Created at: April 17, 2026, 3:36 p.m.