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.