Triple

T20939918
Position Surface form Disambiguated ID Type / Status
Subject Mao Yuanxin E515690 entity
Predicate givenName P17 FINISHED
Object Yuanxin 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: Yuanxin | Statement: [Mao Yuanxin, givenName, Yuanxin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yuanxin
Context triple: [Mao Yuanxin, givenName, Yuanxin]
  • A. Yuanxin chosen
    Yuanxin is the given name of Mao Yuanxin, a Chinese political figure known for being the nephew of Mao Zedong and a prominent youth leader during the Cultural Revolution.
  • B. Xingyuan
    Xingyuan was the Chinese era name used during part of Emperor Dezong of Tang’s reign in the late eighth century.
  • C. Yixin
    Yixin, better known as Prince Gong, was a prominent Qing dynasty statesman and imperial prince who played a key role in 19th-century Chinese diplomacy and reform efforts.
  • D. Yuanhong
    Yuanhong is a Chinese given name that appears in the full name of the historical figure Li Yuanhong.
  • E. Minxia
    Minxia is a Chinese given name notably borne by Olympic champion diver Wu Minxia.
  • 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_69e0b4fc13408190b06868df03c5c29b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6f954e44481909098a0b23a687d5e completed April 21, 2026, 4:13 a.m.
Created at: April 16, 2026, 12:50 p.m.