Triple

T9867570
Position Surface form Disambiguated ID Type / Status
Subject Xi Mingze E239872 entity
Predicate mother P120 FINISHED
Object Peng Liyuan E206506 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: Peng Liyuan | Statement: [Xi Mingze, mother, Peng Liyuan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peng Liyuan
Context triple: [Xi Mingze, mother, Peng Liyuan]
  • A. Peng Liyuan chosen
    Peng Liyuan is a renowned Chinese soprano and performing artist who later became widely known as the wife of Chinese leader Xi Jinping and the country's first lady.
  • B. Qiao Shi
    Qiao Shi was a prominent Chinese Communist Party leader who served as Chairman of the Standing Committee of the National People's Congress in the 1990s.
  • C. Jiang Luxia
    Jiang Luxia is a Chinese actress and martial artist known for her action roles and strong on-screen combat skills.
  • D. Yuan Li
    Yuan Li is a personal name shared by multiple notable individuals, including figures in fields such as arts, academia, and public life.
  • E. Mao Xueying
    Mao Xueying is a Chinese individual notable for bearing the surname Mao, though specific widely recognized public achievements or roles are not well documented.
  • 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_69ca84e7506c819095cbde4ff16512bb completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3d209ac8190b9bc9ff017a132da completed April 2, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1e45add0481909a0416035054a563 completed April 5, 2026, 4:26 a.m.
Created at: March 30, 2026, 8:36 p.m.