Triple

T7035137
Position Surface form Disambiguated ID Type / Status
Subject Mao E163362 entity
Predicate hasNotableBearer P458 FINISHED
Object 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.
E665575 NE FINISHED

How this triple was built (4 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 Xueying | Statement: [Mao, hasNotableBearer, Mao Xueying]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mao Xueying
Context triple: [Mao, hasNotableBearer, Mao Xueying]
  • A. Mao Xinyu
    Mao Xinyu is a Chinese major general and military historian best known as the grandson of Mao Zedong.
  • B. Mao Xuefeng
    Mao Xuefeng is a Chinese individual notable enough to be specifically cited as a prominent bearer of the surname Mao.
  • C. Mao Yushi
    Mao Yushi is a prominent Chinese economist and public intellectual known for his advocacy of market-oriented reforms and liberal economic policies.
  • D. Jiang Luxia
    Jiang Luxia is a Chinese actress and martial artist known for her action roles and strong on-screen combat skills.
  • E. Mao Ning
    Mao Ning is a Chinese diplomat and politician who has served as the spokesperson for China’s Ministry of Foreign Affairs.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mao Xueying
Triple: [Mao, hasNotableBearer, Mao Xueying]
Generated description
Mao Xueying is a Chinese individual notable for bearing the surname Mao, though specific widely recognized public achievements or roles are not well documented.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mao Xueying
Target entity description: Mao Xueying is a Chinese individual notable for bearing the surname Mao, though specific widely recognized public achievements or roles are not well documented.
  • A. Mao Xinyu
    Mao Xinyu is a Chinese major general and military historian best known as the grandson of Mao Zedong.
  • B. Mao Xuefeng
    Mao Xuefeng is a Chinese individual notable enough to be specifically cited as a prominent bearer of the surname Mao.
  • C. Mao Yushi
    Mao Yushi is a prominent Chinese economist and public intellectual known for his advocacy of market-oriented reforms and liberal economic policies.
  • D. Jiang Luxia
    Jiang Luxia is a Chinese actress and martial artist known for her action roles and strong on-screen combat skills.
  • E. Mao Ning
    Mao Ning is a Chinese diplomat and politician who has served as the spokesperson for China’s Ministry of Foreign Affairs.
  • F. None of above. chosen

Provenance (5 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_69c6885d691c81908cf7d31083113886 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e212e28c8190bf38ce9a25d2032e completed March 27, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c82754e9248190b86b05b61a4ae23c completed March 28, 2026, 7:09 p.m.
NEDg Description generation batch_69c828e1487081908de825d60ea38c9e completed March 28, 2026, 7:15 p.m.
NED2 Entity disambiguation (via description) batch_69c829d8a15c8190911e0d7bda39c280 completed March 28, 2026, 7:19 p.m.
Created at: March 27, 2026, 2:36 p.m.