Triple
T11673717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Book of Serenity |
E277439
|
entity |
| Predicate | hasCommentator |
P20253
|
FINISHED |
| Object |
Wansong Xingxiu
Wansong Xingxiu was a prominent 13th-century Chinese Chan (Zen) master best known for his influential commentaries on classic koan collections.
|
E940301
|
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: Wansong Xingxiu | Statement: [Book of Serenity, hasCommentator, Wansong Xingxiu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wansong Xingxiu Context triple: [Book of Serenity, hasCommentator, Wansong Xingxiu]
-
A.
Xue Xiaoqing
Xue Xiaoqing is a notable individual who bears the Chinese surname Xue, recognized as a distinguished representative of that family name.
-
B.
Xue Yinxian
Xue Yinxian is a Chinese sports doctor and whistleblower known for exposing state-sponsored doping in Chinese athletics.
-
C.
Duan Xiushi
Duan Xiushi was a Tang dynasty military general best known for his role in the mid-8th century conflicts between the Tang Empire and the Abbasid Caliphate in Central Asia.
-
D.
Xue Jianyue
Xue Jianyue is a person notable for bearing the Chinese surname Xue.
-
E.
Zhu Xijuan
Zhu Xijuan is a Chinese actress best known for her leading role in the classic 1964 film "The Red Detachment of Women."
- 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: Wansong Xingxiu Triple: [Book of Serenity, hasCommentator, Wansong Xingxiu]
Generated description
Wansong Xingxiu was a prominent 13th-century Chinese Chan (Zen) master best known for his influential commentaries on classic koan collections.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wansong Xingxiu Target entity description: Wansong Xingxiu was a prominent 13th-century Chinese Chan (Zen) master best known for his influential commentaries on classic koan collections.
-
A.
Xue Xiaoqing
Xue Xiaoqing is a notable individual who bears the Chinese surname Xue, recognized as a distinguished representative of that family name.
-
B.
Xue Yinxian
Xue Yinxian is a Chinese sports doctor and whistleblower known for exposing state-sponsored doping in Chinese athletics.
-
C.
Duan Xiushi
Duan Xiushi was a Tang dynasty military general best known for his role in the mid-8th century conflicts between the Tang Empire and the Abbasid Caliphate in Central Asia.
-
D.
Xue Jianyue
Xue Jianyue is a person notable for bearing the Chinese surname Xue.
-
E.
Zhu Xijuan
Zhu Xijuan is a Chinese actress best known for her leading role in the classic 1964 film "The Red Detachment of Women."
- 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a443b6848190a1eb6825fbc49d08 |
completed | April 10, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef13e1b3d8819085ea806280ed69d3 |
completed | April 27, 2026, 7:44 a.m. |
| NEDg | Description generation | batch_69ef3551b9a88190a9b30bcb2592628b |
completed | April 27, 2026, 10:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ef51c17078819083f05036f290ce09 |
completed | April 27, 2026, 12:08 p.m. |
Created at: April 8, 2026, 9:40 p.m.