Triple
T7700908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xue |
E174489
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Xue Yinxian
Xue Yinxian is a Chinese sports doctor and whistleblower known for exposing state-sponsored doping in Chinese athletics.
|
E689249
|
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: Xue Yinxian | Statement: [Xue, hasNotableBearer, Xue Yinxian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xue Yinxian Context triple: [Xue, hasNotableBearer, Xue Yinxian]
-
A.
Xu Shiyou
Xu Shiyou was a prominent Chinese general and military commander of the People's Liberation Army who played key roles in several major conflicts of the People's Republic of China.
-
B.
Liang Xingchu
Liang Xingchu was a prominent Chinese military commander of the People's Liberation Army who played key roles in several major campaigns during the Chinese Civil War and the Korean War.
-
C.
Xue Hanqin
Xue Hanqin is a Chinese jurist and diplomat who has served as a judge and Vice President of the International Court of Justice.
-
D.
Ye Zhengxian
Ye Zhengxian is known primarily as a child of the prominent Chinese military leader Ye Ting.
-
E.
Shen Yiqin
Shen Yiqin is a Chinese politician who serves as a senior national leader and prominent advocate for women's affairs in China.
- 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: Xue Yinxian Triple: [Xue, hasNotableBearer, Xue Yinxian]
Generated description
Xue Yinxian is a Chinese sports doctor and whistleblower known for exposing state-sponsored doping in Chinese athletics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Xue Yinxian Target entity description: Xue Yinxian is a Chinese sports doctor and whistleblower known for exposing state-sponsored doping in Chinese athletics.
-
A.
Xu Shiyou
Xu Shiyou was a prominent Chinese general and military commander of the People's Liberation Army who played key roles in several major conflicts of the People's Republic of China.
-
B.
Liang Xingchu
Liang Xingchu was a prominent Chinese military commander of the People's Liberation Army who played key roles in several major campaigns during the Chinese Civil War and the Korean War.
-
C.
Xue Hanqin
Xue Hanqin is a Chinese jurist and diplomat who has served as a judge and Vice President of the International Court of Justice.
-
D.
Ye Zhengxian
Ye Zhengxian is known primarily as a child of the prominent Chinese military leader Ye Ting.
-
E.
Shen Yiqin
Shen Yiqin is a Chinese politician who serves as a senior national leader and prominent advocate for women's affairs in China.
- 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_69c6995a72cc8190998e56daa6f8e453 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70288d02c819093d6f0e47707d0a3 |
completed | March 27, 2026, 10:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8f30c099081909aaeac321fbf0066 |
completed | March 29, 2026, 9:38 a.m. |
| NEDg | Description generation | batch_69c8f44b03088190beff15d159c5b98a |
completed | March 29, 2026, 9:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8f4c13be8819091a9022f0dc52bc9 |
completed | March 29, 2026, 9:45 a.m. |
Created at: March 27, 2026, 4:03 p.m.