Triple

T12529780
Position Surface form Disambiguated ID Type / Status
Subject Bai Chongxi E299529 entity
Predicate child P120 FINISHED
Object Bai Xianyong E302000 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: Bai Xianyong | Statement: [Bai Chongxi, child, Bai Xianyong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bai Xianyong
Context triple: [Bai Chongxi, child, Bai Xianyong]
  • A. Bai Xianyong chosen
    Bai Xianyong is a prominent Chinese-American writer and scholar best known for his modernist fiction and influential short story collection "Taipei People."
  • B. Liu Cunhou
    Liu Cunhou was a Chinese military officer and warlord associated with the Yunnan clique during the early Republican era.
  • C. Zhang Chong
    Zhang Chong was a prominent Chinese military and political figure from Yunnan who rose to influence during the Republican era and the early years of the People’s Republic of China.
  • D. Chen Yaozu
    Chen Yaozu was a Chinese military figure and graduate of the prestigious Yunnan Military Academy, known for producing many influential officers in modern Chinese history.
  • E. Duan Zhigui
    Duan Zhigui was a Chinese warlord and military commander of the early Republican era, associated with the Anhui clique’s political and military activities.
  • 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d95469d100819087c83bc55e3ec9ce completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5b5c138819098326891f86eab48 completed May 3, 2026, 7:13 a.m.
Created at: April 8, 2026, 9:57 p.m.