Triple

T21394135
Position Surface form Disambiguated ID Type / Status
Subject Zhang Zhenlin E527734 entity
Predicate hasTeammate P2649 FINISHED
Object Guo Ailun 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: Guo Ailun | Statement: [Zhang Zhenlin, hasTeammate, Guo Ailun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guo Ailun
Context triple: [Zhang Zhenlin, hasTeammate, Guo Ailun]
  • A. Guo Ailun chosen
    Guo Ailun is a Chinese professional basketball player, best known as a star guard for the Liaoning Flying Leopards and a longtime member of the Chinese national team.
  • B. Guo Qilin
    Guo Qilin is a Chinese xiangsheng (crosstalk) performer and actor known for his comedic roles in film and television, as well as for being a prominent young figure in traditional Chinese comedy.
  • C. Guo Wenjing
    Guo Wenjing is a prominent contemporary Chinese composer known for his orchestral, chamber, and operatic works that blend Western techniques with traditional Chinese musical elements.
  • D. Guo Yi
    Guo Yi is a supporting character in the British thriller film "Dirty Pretty Things," depicted as an immigrant navigating the harsh realities of London's underground economy.
  • E. Luo Peijin
    Luo Peijin was a Chinese military officer and notable graduate of the Yunnan Military Academy who played a role in early 20th-century Chinese military and political affairs.
  • 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_69e0b51ff3748190935c0a513c62a12b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69ee62cd30f08190aba90afed6116a2a completed April 26, 2026, 7:09 p.m.
Created at: April 16, 2026, 5:13 p.m.