Triple
T10953305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhang Xueliang |
E258777
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Xueliang |
E258777
|
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: Xueliang | Statement: [Zhang Xueliang, givenName, Xueliang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xueliang Context triple: [Zhang Xueliang, givenName, Xueliang]
-
A.
Xueliang
chosen
Xueliang is the given name of Zhang Xueliang, a prominent Chinese warlord and political figure known for his role in the Xi'an Incident of 1936.
-
B.
Jianwu
Jianwu was the era name marking the early reign of Emperor Guangwu, founder of the Eastern Han dynasty in ancient China.
-
C.
Yingchao
Yingchao is the given name of Deng Yingchao, a prominent Chinese revolutionary leader and influential politician in the 20th century.
-
D.
Hongzhang
Hongzhang is the given name of Li Hongzhang, a prominent late Qing dynasty Chinese statesman, diplomat, and military leader.
-
E.
Bai Qi
Bai Qi was a renowned Qin general of the Warring States period, famed for his brilliant military strategies and ruthless effectiveness on the battlefield.
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770fe4cfc81909032296c31e077f0 |
completed | April 9, 2026, 9:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23c64089c8190a9c0aa63d7e7dc64 |
completed | April 17, 2026, 1:57 p.m. |
Created at: April 8, 2026, 9:23 p.m.