Triple
T10062695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wang Wei |
E213025
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Wang Wei |
E213025
|
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: Wang Wei | Statement: [Wang Wei, name, Wang Wei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wang Wei Context triple: [Wang Wei, name, Wang Wei]
-
A.
Wang Wei
chosen
Wang Wei was a renowned Tang dynasty Chinese poet, painter, and musician celebrated for his landscape poetry and contributions to Chan (Zen) Buddhist aesthetics.
-
B.
Meng Haoran
Meng Haoran was a renowned High Tang poet celebrated for his tranquil landscape and nature-themed verse that deeply influenced classical Chinese poetry.
-
C.
Gao Shi
Gao Shi was a prominent poet of China’s High Tang period, celebrated for his vivid frontier-themed verse and reflections on military life and hardship.
-
D.
Li Kuan
Li Kuan was a Tang dynasty imperial prince, known primarily as a son of Emperor Xianzong of Tang.
-
E.
Cen Shen
Cen Shen was a prominent Chinese poet of the High Tang period, celebrated for his vivid frontier-themed verse and depictions of military life on the empire’s borders.
- 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_69ca83977128819084084eb7d1d8c52a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdcfd3c6bc8190a21ed3566f9c08d1 |
completed | April 2, 2026, 2:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d29a717f008190907089e1acb32361 |
completed | April 5, 2026, 5:22 p.m. |
Created at: March 30, 2026, 8:58 p.m.