Triple
T15601201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhang Juzheng |
E375036
|
entity |
| Predicate | chineseName |
P4878
|
FINISHED |
| Object | 張居正 |
E375036
|
NE FINISHED |
How this triple was built (2 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: 張居正 | Statement: [Zhang Juzheng, chineseName, 張居正]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 張居正 Context triple: [Zhang Juzheng, chineseName, 張居正]
-
A.
Zhang Juzheng
chosen
Zhang Juzheng was a powerful late Ming dynasty statesman and reformer whose sweeping fiscal and administrative policies temporarily revitalized imperial governance.
-
B.
隆慶
隆慶是明穆宗朱載垕在位期間使用的年號，對應於公元1567年至1572年的一段明朝年期。
-
C.
Wei Zhongxian
Wei Zhongxian was a powerful and infamous eunuch of the late Ming dynasty who dominated the court during the Tianqi Emperor’s reign and became a symbol of corrupt autocratic rule.
-
D.
Zhao Yong
Zhao Yong was the personal name of King Wuling of Zhao, a Warring States-era Chinese ruler famed for his military reforms and adoption of nomadic cavalry tactics.
-
E.
Xu Guangqi
Xu Guangqi was a prominent late Ming dynasty scholar-official, scientist, and Catholic convert known for his collaboration with Matteo Ricci and his contributions to mathematics, astronomy, and agricultural reform in China.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e621fc4819097e8e85e7ddfdc6c |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56cf8e5c8190bf13114ab0a834de |
completed | May 9, 2026, 3:46 p.m. |
Created at: April 10, 2026, 4:12 a.m.