Triple
T7877767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yellow Turban Rebellion |
E182899
|
entity |
| Predicate | opponent |
P437
|
FINISHED |
| Object | Zhu Jun |
E698312
|
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: Zhu Jun | Statement: [Yellow Turban Rebellion, opponent, Zhu Jun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zhu Jun Context triple: [Yellow Turban Rebellion, opponent, Zhu Jun]
-
A.
Zhu Jun
chosen
Zhu Jun was a prominent late Eastern Han dynasty general and official known for his role in suppressing major uprisings and helping to stabilize imperial authority.
-
B.
Zhu Yijun
Zhu Yijun was the Ming dynasty ruler better known as the Wanli Emperor, whose long reign from 1572 to 1620 saw both early prosperity and later decline of the dynasty.
-
C.
Zhu Junyi
Zhu Junyi is a former senior Chinese police and security official best known for his involvement in major corruption scandals.
-
D.
Zhu Chen
Zhu Chen is a Chinese-born Qatari chess grandmaster and former Women's World Chess Champion.
-
E.
Zhu Jianshen
Zhu Jianshen, better known as the Chenghua Emperor, was a Ming dynasty ruler whose long reign saw both cultural flourishing and increasing court corruption in 15th-century 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_69ca828a17248190b46defe758bc5ad3 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39bc07208190aa452cef8ca5b0d6 |
completed | March 31, 2026, 3:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd670e289c8190a376782df11604aa |
completed | April 1, 2026, 6:42 p.m. |
Created at: March 30, 2026, 4:57 p.m.