Triple
T10057522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yan Zhenqing |
E208898
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Yan Zhenqing |
E208898
|
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: Yan Zhenqing | Statement: [Yan Zhenqing, name, Yan Zhenqing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yan Zhenqing Context triple: [Yan Zhenqing, name, Yan Zhenqing]
-
A.
Yan Zhenqing
chosen
Yan Zhenqing was a renowned Tang dynasty statesman, general, and one of China’s most celebrated calligraphers, famed for his vigorous and upright regular script.
-
B.
Wang Xianzhi
Wang Xianzhi was a late Tang dynasty rebel leader who, alongside Huang Chao, led a major uprising that severely weakened imperial authority.
-
C.
Fude Zhengshen
Fude Zhengshen is a Chinese folk deity revered as a god of wealth and good fortune, often identified with the earth god Tudigong in local religious practice.
-
D.
Zongmi
Zongmi was a prominent Tang dynasty Buddhist scholar-monk known for synthesizing Chan (Zen) and Huayan thought into a comprehensive doctrinal system.
-
E.
He Zhizhang
He Zhizhang was a prominent Tang dynasty poet and official known for his refined literary style and contributions to classical Chinese poetry.
- 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.