Triple

T7724586
Position Surface form Disambiguated ID Type / Status
Subject Wu Man E175097 entity
Predicate name P16 FINISHED
Object Wu Man E175097 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 Man | Statement: [Wu Man, name, Wu Man]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wu Man
Context triple: [Wu Man, name, Wu Man]
  • A. Wu Man chosen
    Wu Man is a renowned Chinese pipa virtuoso and composer known for her innovative performances and collaborations that bring traditional Chinese music to global audiences.
  • B. Wang Jingjiu
    Wang Jingjiu was a Chinese military officer best known for commanding the National Revolutionary Army’s 87th Division during the Republican era.
  • C. Song Renqiong
    Song Renqiong was a prominent Chinese Communist revolutionary and senior military and political leader who played key roles in the Chinese Civil War and the early decades of the People's Republic of China.
  • D. Wu Min
    Wu Min is a Chinese personal name shared by multiple individuals across fields such as sports, academia, and public life.
  • 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_69c6995d541c81909eaa646b1a8369a9 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7031279708190a3a5fb64f9206974 completed March 27, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b51faa348190b4fa0b5a307c83db completed March 29, 2026, 5:14 a.m.
Created at: March 27, 2026, 4:05 p.m.