Triple

T17749623
Position Surface form Disambiguated ID Type / Status
Subject Shadow (2018 film) E443077 entity
Predicate castMember P1668 FINISHED
Object Hu Jun 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: Hu Jun | Statement: [Shadow (2018 film), castMember, Hu Jun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hu Jun
Context triple: [Shadow (2018 film), castMember, Hu Jun]
  • A. Hu Jun chosen
    Hu Jun is a prominent Chinese actor known for his powerful performances in film, television, and theater, particularly in historical and action roles.
  • B. Hu Minghua
    Hu Minghua is a person notable for bearing the Chinese surname Hu, though specific widely recognized public information about them is limited.
  • C. Jiao Enjun
    Jiao Enjun is a Taiwanese actor best known for his roles in popular wuxia television dramas such as "Xiao Li Fei Dao" and "The Legend of the Condor Heroes."
  • D. Zhang Jun
    Zhang Jun is a Chinese jurist and senior official who serves as the President and Chief Justice of the Supreme People's Court of China.
  • E. Hu Fuming
    Hu Fuming was a Chinese scholar and politician best known for his influential 1978 essay “Practice is the Sole Criterion for Testing Truth,” which helped launch China’s ideological shift toward reform and opening.
  • 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48418c0188190beb31809b40e4648 completed April 19, 2026, 7:28 a.m.
Created at: April 10, 2026, 10:10 a.m.