Triple
T10057282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | An Lushan Rebellion |
E208893
|
entity |
| Predicate | opposingCommander |
P1698
|
FINISHED |
| Object | Guo Ziyi |
E800332
|
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: Guo Ziyi | Statement: [An Lushan Rebellion, opposingCommander, Guo Ziyi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guo Ziyi Context triple: [An Lushan Rebellion, opposingCommander, Guo Ziyi]
-
A.
Guo Ziyi
chosen
Guo Ziyi was a renowned Tang dynasty general celebrated for his pivotal role in suppressing the An Lushan Rebellion and restoring imperial stability.
-
B.
He Zhizhang
He Zhizhang was a prominent Tang dynasty poet and official known for his refined literary style and contributions to classical Chinese poetry.
-
C.
Zhang Wenshou
Zhang Wenshou was the wife of Cao Kun, a prominent Chinese warlord and president of the Beiyang government in the early Republic of China.
-
D.
Duan Zhigui
Duan Zhigui was a Chinese warlord and military commander of the early Republican era, associated with the Anhui clique’s political and military activities.
-
E.
Li Guangbi
Li Guangbi was a prominent Tang dynasty general renowned for his key role in suppressing the An Lushan Rebellion and helping to restore imperial authority.
- 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_69ca836094408190a36a1ea7e9a86fcd |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcfaf7700819084dedf7b63e789c1 |
completed | April 2, 2026, 2:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d74fc3f9608190b4472b2b87009cca |
completed | April 9, 2026, 7:05 a.m. |
Created at: March 30, 2026, 8:57 p.m.