Triple

T7728163
Position Surface form Disambiguated ID Type / Status
Subject Ma Junren E175183 entity
Predicate coached P2169 FINISHED
Object Qu Yunxia
Qu Yunxia is a former Chinese middle-distance runner best known for setting a long-standing world record in the women's 1500 meters in the early 1990s.
E689677 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: Qu Yunxia | Statement: [Ma Junren, coached, Qu Yunxia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Qu Yunxia
Context triple: [Ma Junren, coached, Qu Yunxia]
  • A. Hung Yan-yan
    Hung Yan-yan is a Hong Kong martial artist, actor, and action choreographer known for his work in classic kung fu and action films.
  • B. Xue Jianyue
    Xue Jianyue is a person notable for bearing the Chinese surname Xue.
  • C. Zhang Youxia
    Zhang Youxia is a senior Chinese general and influential military leader who serves as one of the top commanders in the People's Liberation Army.
  • D. Shang Xiaoyun
    Shang Xiaoyun was a renowned 20th-century Peking opera artist celebrated as one of the "Four Great Dan" for his influential performances in female roles and contributions to the art form’s modernization.
  • E. Zhou Xiaoou
    Zhou Xiaoou is a Chinese actor and musician best known as a member of the pop group Snowkel and for his roles in contemporary Chinese films and television dramas.
  • 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: Qu Yunxia
Triple: [Ma Junren, coached, Qu Yunxia]
Generated description
Qu Yunxia is a former Chinese middle-distance runner best known for setting a long-standing world record in the women's 1500 meters in the early 1990s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Qu Yunxia
Target entity description: Qu Yunxia is a former Chinese middle-distance runner best known for setting a long-standing world record in the women's 1500 meters in the early 1990s.
  • A. Hung Yan-yan
    Hung Yan-yan is a Hong Kong martial artist, actor, and action choreographer known for his work in classic kung fu and action films.
  • B. Xue Jianyue
    Xue Jianyue is a person notable for bearing the Chinese surname Xue.
  • C. Zhang Youxia
    Zhang Youxia is a senior Chinese general and influential military leader who serves as one of the top commanders in the People's Liberation Army.
  • D. Shang Xiaoyun
    Shang Xiaoyun was a renowned 20th-century Peking opera artist celebrated as one of the "Four Great Dan" for his influential performances in female roles and contributions to the art form’s modernization.
  • E. Zhou Xiaoou
    Zhou Xiaoou is a Chinese actor and musician best known as a member of the pop group Snowkel and for his roles in contemporary Chinese films and television dramas.
  • 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_69c6995e912c81909a49a2657103f786 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c70315e8e88190a5c7e5d2f2ef66bc completed March 27, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9062001f08190a12265cb518863e1 completed March 29, 2026, 10:59 a.m.
NEDg Description generation batch_69c90685102881909407b7014d69f0de completed March 29, 2026, 11:01 a.m.
NED2 Entity disambiguation (via description) batch_69c906d006dc819095c85bda52030f46 completed March 29, 2026, 11:02 a.m.
Created at: March 27, 2026, 4:06 p.m.