Triple

T8949630
Position Surface form Disambiguated ID Type / Status
Subject Chen Zhu E213311 entity
Predicate name P16 FINISHED
Object Chen Zhu E213311 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: Chen Zhu | Statement: [Chen Zhu, name, Chen Zhu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chen Zhu
Context triple: [Chen Zhu, name, Chen Zhu]
  • A. Chen Zhu chosen
    Chen Zhu is a prominent Chinese hematologist and molecular biologist who served as China's Minister of Health and is known for his contributions to leukemia research and public health reform.
  • B. Yuan Jinhua
    Yuan Jinhua is a Chinese entrepreneur best known for establishing Sany Heavy Industry, one of China’s leading construction machinery manufacturers.
  • C. Zhu Changxun
    Zhu Changxun was a Ming dynasty prince and the father of the Hongguang Emperor, whose death at the hands of rebel forces became a notable episode in the dynasty’s final years.
  • D. Zeng Qinghong
    Zeng Qinghong is a Chinese politician who served as Vice President of the People’s Republic of China and was a key power broker within the Chinese Communist Party in the early 2000s.
  • E. Huang Kecheng
    Huang Kecheng was a prominent Chinese Communist military leader and political figure who played key roles in the Chinese Civil War and later served in senior positions in the People’s Liberation Army and the government.
  • 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_69ca839843408190a39069a029a89f15 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc670b5f50819080f1c73992fe5281 completed April 1, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1af0f42488190a298eb449828b9ae completed April 5, 2026, 12:38 a.m.
Created at: March 30, 2026, 6:59 p.m.