Triple

T16886442
Position Surface form Disambiguated ID Type / Status
Subject Hung Yan-yan E421552 entity
Predicate name P16 FINISHED
Object Hung Yan-yan E421552 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: Hung Yan-yan | Statement: [Hung Yan-yan, name, Hung Yan-yan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hung Yan-yan
Context triple: [Hung Yan-yan, name, Hung Yan-yan]
  • A. Hung Yan-yan chosen
    Hung Yan-yan is a Hong Kong martial artist, actor, and action choreographer known for his work in classic kung fu and action films.
  • B. Huang Qiuyan
    Huang Qiuyan is a Chinese former wushu athlete and actress best known for her early marriage to martial arts film star Jet Li.
  • C. Wang Yuja
    Wang Yuja is a renowned Chinese classical pianist celebrated internationally for her virtuosic technique and dynamic, expressive performances.
  • D. Yao Ling
    Yao Ling is known as the former spouse of Ren Zhengfei, the founder of Chinese telecommunications giant Huawei.
  • E. Lin Yurong
    Lin Yurong is the original birth name of Lin Biao, a prominent Chinese Communist military leader and key figure in the Chinese Civil War and early People’s Republic of China.
  • 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3bbc126e881909dae8133ad34acc9 completed April 18, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2bcf290819098be9def471e02b8 completed May 10, 2026, 5:39 p.m.
Created at: April 10, 2026, 5:29 a.m.