Triple

T20440886
Position Surface form Disambiguated ID Type / Status
Subject Zhang Qun E501386 entity
Predicate name P16 FINISHED
Object Zhang Qun 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: Zhang Qun | Statement: [Zhang Qun, name, Zhang Qun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zhang Qun
Context triple: [Zhang Qun, name, Zhang Qun]
  • A. Zhang Qun chosen
    Zhang Qun was a prominent Chinese Nationalist politician and diplomat who served in various high-level roles in the Republic of China government, including as premier and foreign minister.
  • B. Zhang Wenqi
    Zhang Wenqi is a Chinese basketball player best known for having played professionally for the Shanghai Sharks in the Chinese Basketball Association.
  • C. Zhang Jun
    Zhang Jun is a Chinese jurist and senior official who serves as the President and Chief Justice of the Supreme People's Court of China.
  • D. Zhang Jinghui
    Zhang Jinghui was a Chinese politician who served as the last prime minister of the Japanese puppet state of Manchukuo during World War II.
  • E. Chen Qun
    Chen Qun was a prominent statesman and legalist of the Cao Wei state during China’s Three Kingdoms period, known for helping establish its bureaucratic and legal systems.
  • 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_69e0b4ab3cfc8190ac9bf32e932316b1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e685f2e8888190a2e0d6b2bf6c905d completed April 20, 2026, 8 p.m.
Created at: April 16, 2026, 11:31 a.m.