Triple

T9501288
Position Surface form Disambiguated ID Type / Status
Subject Xi Zhongxun E229145 entity
Predicate child P120 FINISHED
Object Xi Yuanping E795405 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: Xi Yuanping | Statement: [Xi Zhongxun, child, Xi Yuanping]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xi Yuanping
Context triple: [Xi Zhongxun, child, Xi Yuanping]
  • A. Xi Yuanping chosen
    Xi Yuanping is a Chinese businessman known primarily as the younger brother of Chinese Communist Party General Secretary Xi Jinping.
  • B. Zhang Youxia
    Zhang Youxia is a senior Chinese general and influential military leader who serves as one of the top commanders in the People's Liberation Army.
  • C. Bao Xinhe
    Bao Xinhe is a Chinese physical chemist and academic leader known for his research in catalysis and for serving as president of the University of Science and Technology of China.
  • D. Peng Xiaolian
    Peng Xiaolian was a prominent Chinese film director and screenwriter known for her nuanced portrayals of women's lives and Shanghai's urban culture.
  • E. Liang Xinjun
    Liang Xinjun is a Chinese entrepreneur best known as a co-founder and former executive of the diversified conglomerate Fosun Group.
  • 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_69ca84753660819098e8d416e89e26ae completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd983d4b708190a4dfef1246986a26 completed April 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69d2cb2aaef481908a7be61bbfc3b008 completed April 5, 2026, 8:50 p.m.
Created at: March 30, 2026, 7:57 p.m.