Triple

T18980158
Position Surface form Disambiguated ID Type / Status
Subject Mao Anlong E464398 entity
Predicate sibling P363 FINISHED
Object Mao Anying 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 Anying | Statement: [Mao Anlong, sibling, Mao Anying]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mao Anying
Context triple: [Mao Anlong, sibling, Mao Anying]
  • A. Mao Anying chosen
    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.
  • B. Mao Anqing
    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.
  • C. Mao Xinyuan
    Mao Xinyuan is a person notable for bearing the Chinese surname Mao, though specific widely known public information about them is limited.
  • D. Mao Yichang
    Mao Yichang was the father of Mao Zedong and a relatively prosperous peasant farmer in Hunan, China.
  • E. 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.
  • 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_69d8dd008af48190a97ff1c6488edf1b completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d65b573881908575e61a62b70787 completed April 20, 2026, 7:31 a.m.
Created at: April 10, 2026, 12:01 p.m.