Triple
T8850737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wu Daozi |
E210630
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Wu Daozi |
E210630
|
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: Wu Daozi | Statement: [Wu Daozi, name, Wu Daozi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wu Daozi Context triple: [Wu Daozi, name, Wu Daozi]
-
A.
Wu Daozi
chosen
Wu Daozi was a legendary Chinese painter of the Tang dynasty, celebrated for his dynamic brushwork and profound influence on the development of traditional Chinese art.
-
B.
Du Gongbu
Du Gongbu, better known as Du Fu, was a preeminent Tang dynasty Chinese poet renowned for his profound social conscience and masterful, influential verse.
-
C.
Wu Guanzhong
Wu Guanzhong was a renowned 20th-century Chinese painter celebrated for blending Western modernist techniques with traditional Chinese ink painting.
-
D.
Guo Xi
Guo Xi was an influential 11th-century Chinese landscape painter of the Northern Song dynasty, renowned for his monumental mountain scenes and innovative spatial compositions.
-
E.
Yu Chengwan
Yu Chengwan was a Chinese military commander best known for leading Nationalist forces during the World War II-era Battle of Changde against the Imperial Japanese Army.
- 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_69ca838a424c8190b1ecac115c2927e7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60c2300c819097b1ca6ebe2f749a |
completed | April 1, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa08315fc8190b901adfc76348e18 |
completed | April 3, 2026, 11:12 a.m. |
Created at: March 30, 2026, 6:49 p.m.