Triple

T21389222
Position Surface form Disambiguated ID Type / Status
Subject He Zehui E527593 entity
Predicate name P16 FINISHED
Object He Zehui 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: He Zehui | Statement: [He Zehui, name, He Zehui]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: He Zehui
Context triple: [He Zehui, name, He Zehui]
  • A. He Zehui chosen
    He Zehui was a pioneering Chinese nuclear physicist and key figure in the development of China’s atomic science program.
  • B. He Zhihua
    He Zhihua was a Chinese military officer and notable graduate of the Yunnan Military Academy who contributed to early 20th-century military affairs in China.
  • C. Qiu Huizuo
    Qiu Huizuo was a senior Chinese Communist military and political leader who served as a high-ranking general and logistics chief in the People’s Liberation Army, particularly influential during the Cultural Revolution.
  • D. Zhu Zhixin
    Zhu Zhixin was a prominent early 20th-century Chinese revolutionary, writer, and theorist who played a key ideological role in the movement to overthrow the Qing dynasty and promote republicanism.
  • E. Zhang Huike
    Zhang Huike is a Chinese actor best known for his breakout role as the schoolboy protagonist in Zhang Yimou’s acclaimed film "Not One Less."
  • 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_69ee62cbfef08190a33ac1f198c82cd0 completed April 26, 2026, 7:09 p.m.
Created at: April 16, 2026, 5:12 p.m.