Triple
T9614606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yuan |
E232186
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Yuan Haowen
Yuan Haowen was a prominent poet and literary figure of the late Jin and early Yuan dynasties in China, known for his ci and shi poetry as well as his prose.
|
E820521
|
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: Yuan Haowen | Statement: [Yuan, hasNotableBearer, Yuan Haowen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yuan Haowen Context triple: [Yuan, hasNotableBearer, Yuan Haowen]
-
A.
Yuan Weishi
Yuan Weishi is a Chinese historian and public intellectual known for his critical examinations of modern Chinese history and education.
-
B.
Lu You
Lu You was a prominent Southern Song dynasty poet renowned for his patriotic verse and prolific literary output.
-
C.
Wen Tianxiang
Wen Tianxiang was a renowned Southern Song dynasty scholar-official, military leader, and national hero celebrated for his unwavering loyalty and resistance against the Mongol conquest.
-
D.
Yan Xiu
Yan Xiu was a prominent early 20th-century Chinese educator and reformer who played a key role in modernizing China's education system.
-
E.
Wang Zhen
Wang Zhen was a prominent Chinese Communist military commander and one of the founding Ten Marshals of the People’s Republic of 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: Yuan Haowen Triple: [Yuan, hasNotableBearer, Yuan Haowen]
Generated description
Yuan Haowen was a prominent poet and literary figure of the late Jin and early Yuan dynasties in China, known for his ci and shi poetry as well as his prose.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yuan Haowen Target entity description: Yuan Haowen was a prominent poet and literary figure of the late Jin and early Yuan dynasties in China, known for his ci and shi poetry as well as his prose.
-
A.
Yuan Weishi
Yuan Weishi is a Chinese historian and public intellectual known for his critical examinations of modern Chinese history and education.
-
B.
Lu You
Lu You was a prominent Southern Song dynasty poet renowned for his patriotic verse and prolific literary output.
-
C.
Wen Tianxiang
Wen Tianxiang was a renowned Southern Song dynasty scholar-official, military leader, and national hero celebrated for his unwavering loyalty and resistance against the Mongol conquest.
-
D.
Yan Xiu
Yan Xiu was a prominent early 20th-century Chinese educator and reformer who played a key role in modernizing China's education system.
-
E.
Wang Zhen
Wang Zhen was a prominent Chinese Communist military commander and one of the founding Ten Marshals of the People’s Republic of 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_69ca84867bb88190b4b57dd5a56d5691 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9aaaa47881908d69381d4d11f49b |
completed | April 1, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1bcaf94608190992124965a805228 |
completed | April 5, 2026, 1:36 a.m. |
| NEDg | Description generation | batch_69d1bf70697081909daa19110c20969e |
completed | April 5, 2026, 1:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1bfd7e5c08190ae679641f5254dc7 |
completed | April 5, 2026, 1:50 a.m. |
Created at: March 30, 2026, 8:09 p.m.