Triple

T7430230
Position Surface form Disambiguated ID Type / Status
Subject Fumei E171468 entity
Predicate hasNotableBearer P458 FINISHED
Object Mao Fumei E30428 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: Mao Fumei | Statement: [Fumei, hasNotableBearer, Mao Fumei]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mao Fumei
Context triple: [Fumei, hasNotableBearer, Mao Fumei]
  • A. Mao Fumei chosen
    Mao Fumei was the first wife of Chinese Nationalist leader Chiang Kai-shek and the mother of his son Chiang Ching-kuo.
  • B. Wang Guangmei
    Wang Guangmei was a prominent Chinese political figure and sociologist who served as China's First Lady during the 1950s and 1960s and later became known for her persecution during the Cultural Revolution and subsequent rehabilitation.
  • C. Mao Xinyu
    Mao Xinyu is a Chinese major general and military historian best known as the grandson of Mao Zedong.
  • D. 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.
  • E. Mao Yushi
    Mao Yushi is a prominent Chinese economist and public intellectual known for his advocacy of market-oriented reforms and liberal economic policies.
  • 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_69c68a63491881909281f73d4d5643bf completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f32324c481908c9ba594e8456728 completed March 27, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c51901081908ad8513c860408eb completed March 28, 2026, 8:38 p.m.
Created at: March 27, 2026, 3:12 p.m.