Triple

T15682361
Position Surface form Disambiguated ID Type / Status
Subject Wu Hong E377608 entity
Predicate name P16 FINISHED
Object Wu Hong E377608 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: Wu Hong | Statement: [Wu Hong, name, Wu Hong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wu Hong
Context triple: [Wu Hong, name, Wu Hong]
  • A. Wu Hong chosen
    Wu Hong is a Chinese art historian and curator renowned for his scholarship on traditional and contemporary Chinese art.
  • B. Shen Hongying
    Shen Hongying was a Chinese warlord and military leader associated with the Guangxi Clique during the turbulent Warlord Era of early 20th-century China.
  • C. Huang Shaohong
    Huang Shaohong was a prominent Chinese Nationalist military and political leader who played a key role in the development and governance of Guangxi during the Republican era.
  • D. Gao Hong
    Gao Hong is a former Chinese women's football goalkeeper renowned for her standout performances for China’s national team, including at the FIFA Women's World Cup.
  • E. Wang Hui-ling
    Wang Hui-ling is a Taiwanese screenwriter best known for co-writing acclaimed films such as "Crouching Tiger, Hidden Dragon" and "Lust, Caution," often collaborating with director Ang Lee.
  • 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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f31b5b881908e46ecd9fc6048ab completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffb59535908190a3d085a5e74b06e8 completed May 9, 2026, 10:30 p.m.
Created at: April 10, 2026, 4:16 a.m.