Triple
T16204067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhu Zhanyong |
E393276
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Zhanyong
Zhanyong is a Chinese given name commonly used for males and associated with qualities such as bravery and steadfastness.
|
E1198808
|
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: Zhanyong | Statement: [Zhu Zhanyong, givenName, Zhanyong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zhanyong Context triple: [Zhu Zhanyong, givenName, Zhanyong]
-
A.
Li Rong
Li Rong was a prominent Chinese linguist known for his influential work on Chinese dialectology and the classification of Sinitic languages.
-
B.
Sun Hao
Sun Hao was the last emperor of Eastern Wu during China’s Three Kingdoms period, known for his tyrannical rule and the eventual fall of his state to the Jin dynasty.
-
C.
Zhu Shu
Zhu Shu was a lesser-known Ming dynasty prince and son of the Hongwu Emperor, making him a younger brother of crown prince Zhu Biao.
-
D.
Duan Xingzhi
Duan Xingzhi was the final monarch of the Dali Kingdom, marking the end of this medieval Bai state in what is now Yunnan, China.
-
E.
Liu Jichi
Liu Jichi was a Ming dynasty scholar-official known for helping compile the monumental Yongle Encyclopedia, one of the largest encyclopedic works in history.
- 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: Zhanyong Triple: [Zhu Zhanyong, givenName, Zhanyong]
Generated description
Zhanyong is a Chinese given name commonly used for males and associated with qualities such as bravery and steadfastness.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zhanyong Target entity description: Zhanyong is a Chinese given name commonly used for males and associated with qualities such as bravery and steadfastness.
-
A.
Li Rong
Li Rong was a prominent Chinese linguist known for his influential work on Chinese dialectology and the classification of Sinitic languages.
-
B.
Sun Hao
Sun Hao was the last emperor of Eastern Wu during China’s Three Kingdoms period, known for his tyrannical rule and the eventual fall of his state to the Jin dynasty.
-
C.
Zhu Shu
Zhu Shu was a lesser-known Ming dynasty prince and son of the Hongwu Emperor, making him a younger brother of crown prince Zhu Biao.
-
D.
Duan Xingzhi
Duan Xingzhi was the final monarch of the Dali Kingdom, marking the end of this medieval Bai state in what is now Yunnan, China.
-
E.
Liu Jichi
Liu Jichi was a Ming dynasty scholar-official known for helping compile the monumental Yongle Encyclopedia, one of the largest encyclopedic works in history.
- 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2270ca18c8190a259992aed4ec072 |
completed | April 17, 2026, 12:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffff14b0988190bb4128b2e02aee32 |
completed | May 10, 2026, 3:44 a.m. |
| NEDg | Description generation | batch_6a00003d347481908285b2253fd20ac1 |
completed | May 10, 2026, 3:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0000adc1b08190abbafcabb4ebc079 |
completed | May 10, 2026, 3:51 a.m. |
Created at: April 10, 2026, 5:03 a.m.