Triple
T10057277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | An Lushan Rebellion |
E208893
|
entity |
| Predicate | leader |
P981
|
FINISHED |
| Object | An Lushan |
E782721
|
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: An Lushan | Statement: [An Lushan Rebellion, leader, An Lushan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: An Lushan Context triple: [An Lushan Rebellion, leader, An Lushan]
-
A.
An Lushan
chosen
An Lushan was a Tang dynasty general of Sogdian and Turkic origin who led the devastating An Lushan Rebellion (755–763), which severely weakened the Tang Empire.
-
B.
Mount Wangwu
Mount Wangwu is a renowned scenic mountain area in China, celebrated for its dramatic landscapes, cultural legends, and historical significance within the Taihang mountain range.
-
C.
Pan Shu
Pan Shu was an imperial consort of the Eastern Wu state during China’s Three Kingdoms period and the mother of Emperor Sun Liang.
-
D.
Tudigong
Tudigong is a widely venerated Chinese earth god and local tutelary deity associated with protecting land, villages, and community welfare.
-
E.
Ma Sichun
Ma Sichun is a Chinese actress known for her acclaimed film and television roles, including winning the Golden Horse Award for Best Leading Actress.
- 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_69d29a5258788190a4ecdefa5b520609 |
completed | April 5, 2026, 5:22 p.m. |
Created at: March 30, 2026, 8:57 p.m.