Triple

T20939942
Position Surface form Disambiguated ID Type / Status
Subject Mao Xinyu E515691 entity
Predicate childOf P120 FINISHED
Object Mao Anqing 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: Mao Anqing | Statement: [Mao Xinyu, childOf, Mao Anqing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mao Anqing
Context triple: [Mao Xinyu, childOf, Mao Anqing]
  • A. Mao Anqing chosen
    Mao Anqing was the second son of Chinese Communist leader Mao Zedong, known for his work as a Russian-language translator and his relatively low political profile compared to his father.
  • B. Mao Xuewu
    Mao Xuewu is a Chinese individual known primarily as a notable bearer of the surname Mao, though detailed public information about his life or achievements is limited.
  • C. Mao Anying
    Mao Anying was the eldest son of Chinese leader Mao Zedong, best known for his death while serving as a volunteer officer in the Korean War.
  • D. Mao Yichang
    Mao Yichang was the father of Mao Zedong and a relatively prosperous peasant farmer in Hunan, China.
  • E. Mao Yuanxin
    Mao Yuanxin is a Chinese political figure known as Mao Zedong’s nephew who briefly held influential positions during the final years of the Cultural Revolution.
  • 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.