Triple
T8006701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neidan |
E186379
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object |
Yangsheng
Yangsheng is a traditional Chinese practice focused on nurturing life and cultivating health and longevity through balanced living, diet, exercise, and spiritual refinement.
|
E701752
|
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: Yangsheng | Statement: [Neidan, relatedTo, Yangsheng]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yangsheng Context triple: [Neidan, relatedTo, Yangsheng]
-
A.
Yansong
Yansong is the given name of Ma Yansong, a prominent Chinese architect known for his futuristic and organic building designs.
-
B.
Yuanhong
Yuanhong is a Chinese given name that appears in the full name of the historical figure Li Yuanhong.
-
C.
Yuanxin
Yuanxin is the given name of Mao Yuanxin, a Chinese political figure known for being the nephew of Mao Zedong and a prominent youth leader during the Cultural Revolution.
-
D.
Yuxiang
Yuxiang is a Chinese given name notably borne by the early 20th-century warlord and military leader Feng Yuxiang.
-
E.
Shengzhi
Shengzhi is the given name of Tang Shengzhi, a prominent Chinese Nationalist general active during the early 20th century.
- 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: Yangsheng Triple: [Neidan, relatedTo, Yangsheng]
Generated description
Yangsheng is a traditional Chinese practice focused on nurturing life and cultivating health and longevity through balanced living, diet, exercise, and spiritual refinement.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yangsheng Target entity description: Yangsheng is a traditional Chinese practice focused on nurturing life and cultivating health and longevity through balanced living, diet, exercise, and spiritual refinement.
-
A.
Yansong
Yansong is the given name of Ma Yansong, a prominent Chinese architect known for his futuristic and organic building designs.
-
B.
Yuanhong
Yuanhong is a Chinese given name that appears in the full name of the historical figure Li Yuanhong.
-
C.
Yuanxin
Yuanxin is the given name of Mao Yuanxin, a Chinese political figure known for being the nephew of Mao Zedong and a prominent youth leader during the Cultural Revolution.
-
D.
Yuxiang
Yuxiang is a Chinese given name notably borne by the early 20th-century warlord and military leader Feng Yuxiang.
-
E.
Shengzhi
Shengzhi is the given name of Tang Shengzhi, a prominent Chinese Nationalist general active during the early 20th century.
- 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_69ca82abaffc8190ab8af79cdbc31ab3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3cf8a6048190970685a83fd2f59d |
completed | March 31, 2026, 3:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe12c068c8190a6ea7e924a7748c6 |
completed | March 31, 2026, 2:58 p.m. |
| NEDg | Description generation | batch_69cbe442999881909544802bb9a91cd5 |
completed | March 31, 2026, 3:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc09c676148190964d4947310ec16a |
completed | March 31, 2026, 5:52 p.m. |
Created at: March 30, 2026, 5:18 p.m.