Triple

T17809603
Position Surface form Disambiguated ID Type / Status
Subject Zhang Hanyu E444662 entity
Predicate name P16 FINISHED
Object Zhang Hanyu 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: Zhang Hanyu | Statement: [Zhang Hanyu, name, Zhang Hanyu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zhang Hanyu
Context triple: [Zhang Hanyu, name, Zhang Hanyu]
  • A. Zhang Hanyu chosen
    Zhang Hanyu is a Chinese actor known for his powerful performances in films such as "Assembly" and "The Taking of Tiger Mountain."
  • B. Dominic Leung
    Dominic Leung is a music video director known for directing the video for Coldplay's song "Clocks."
  • C. Daniel Wu
    Daniel Wu is a Hong Kong-American actor, director, and producer known for his roles in action and fantasy films as well as the TV series "Into the Badlands."
  • D. Lau Kin-ming
    Lau Kin-ming is a central character in the Hong Kong crime thriller "Infernal Affairs," portrayed as a triad mole who infiltrates the police force while struggling with his divided loyalties and identity.
  • E. Leon Lai
    Leon Lai is a prominent Hong Kong Cantopop singer and actor, recognized as one of the city's "Four Heavenly Kings" of pop music.
  • 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4887976e48190842840ef064dc772 completed April 19, 2026, 7:47 a.m.
Created at: April 10, 2026, 10:14 a.m.