Triple
T8850690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Du Fu |
E210629
|
entity |
| Predicate | courtesyName |
P570
|
FINISHED |
| Object |
Zimei
Zimei is the courtesy name of Du Fu, one of China's greatest Tang dynasty poets renowned for his profound historical and social verse.
|
E761298
|
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: Zimei | Statement: [Du Fu, courtesyName, Zimei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zimei Context triple: [Du Fu, courtesyName, Zimei]
-
A.
Shinmei
Shinmei is a divine title associated with Emperor Jimmu, the legendary first emperor of Japan revered as a descendant of the sun goddess Amaterasu.
-
B.
Chiwu
Chiwu was the era name used by Sun Quan, ruler of Eastern Wu during China’s Three Kingdoms period, for a specific span of his reign.
-
C.
Teimei
Teimei is the posthumous name of the Japanese empress consort of Emperor Taishō, who served as Empress of Japan in the early 20th century.
-
D.
Yinzhi
Yinzhi was a Qing dynasty imperial prince, known as one of the sons of the Kangxi Emperor of China.
-
E.
Shiqi
Shiqi was a historical administrative and commercial center that served as the capital of Xiangshan County in Guangdong during the Qing Empire.
- 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: Zimei Triple: [Du Fu, courtesyName, Zimei]
Generated description
Zimei is the courtesy name of Du Fu, one of China's greatest Tang dynasty poets renowned for his profound historical and social verse.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zimei Target entity description: Zimei is the courtesy name of Du Fu, one of China's greatest Tang dynasty poets renowned for his profound historical and social verse.
-
A.
Shinmei
Shinmei is a divine title associated with Emperor Jimmu, the legendary first emperor of Japan revered as a descendant of the sun goddess Amaterasu.
-
B.
Chiwu
Chiwu was the era name used by Sun Quan, ruler of Eastern Wu during China’s Three Kingdoms period, for a specific span of his reign.
-
C.
Teimei
Teimei is the posthumous name of the Japanese empress consort of Emperor Taishō, who served as Empress of Japan in the early 20th century.
-
D.
Yinzhi
Yinzhi was a Qing dynasty imperial prince, known as one of the sons of the Kangxi Emperor of China.
-
E.
Shiqi
Shiqi was a historical administrative and commercial center that served as the capital of Xiangshan County in Guangdong during the Qing Empire.
- 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_69ca838a424c8190b1ecac115c2927e7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60c2300c819097b1ca6ebe2f749a |
completed | April 1, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf89cb853c8190a7664f2e7de0de87 |
completed | April 3, 2026, 9:35 a.m. |
| NEDg | Description generation | batch_69cf8ab7da348190b423f0768fe9dc1a |
completed | April 3, 2026, 9:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf8bd252a4819098891bbb67baf897 |
completed | April 3, 2026, 9:43 a.m. |
Created at: March 30, 2026, 6:49 p.m.