Triple
T9083186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Han Yu |
E217683
|
entity |
| Predicate | chineseName |
P4878
|
FINISHED |
| Object | 韓愈 |
E217683
|
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: 韓愈 | Statement: [Han Yu, chineseName, 韓愈]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 韓愈 Context triple: [Han Yu, chineseName, 韓愈]
-
A.
Han Yu
chosen
Han Yu was a prominent Chinese writer, poet, and Confucian scholar of the Tang dynasty, renowned for championing classical prose and influencing later Neo-Confucian thought.
-
B.
Ouyang Xiu
Ouyang Xiu was an influential Song dynasty statesman, historian, and literary figure renowned for his prose, poetry, and role in shaping classical Chinese literature and scholarship.
-
C.
Bai Juyi
Bai Juyi was a prominent Chinese poet and official of the Tang dynasty, renowned for his accessible, socially conscious verse and enduring influence on East Asian literature.
-
D.
Lu You
Lu You was a prominent Southern Song dynasty poet renowned for his patriotic verse and prolific literary output.
-
E.
Liu Ban
Liu Ban was a Chinese scholar and official known for serving on the editorial team that compiled the historical chronicle Zizhi Tongjian.
- 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_69ca83d7a0388190ba1af89ed7ba36f9 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc960a2760819084aab611eb1c43a9 |
completed | April 1, 2026, 3:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cffe30093481908b3ec394cf585642 |
completed | April 3, 2026, 5:51 p.m. |
Created at: March 30, 2026, 7:13 p.m.