Triple
T21943197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qieyun |
E541871
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | Guangyun |
—
|
NE NERFINISHED |
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: Guangyun | Statement: [Qieyun, influenced, Guangyun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guangyun Context triple: [Qieyun, influenced, Guangyun]
-
A.
Guangyun
chosen
Guangyun is an 11th-century Chinese rime dictionary that serves as a major source for reconstructing the phonology of Middle Chinese.
-
B.
Guangyi
Guangyi was a warship that served in China's late 19th-century Beiyang Fleet, one of the Qing dynasty's principal modern naval forces.
-
C.
Guang
Guang is the given name of Sima Guang, a renowned Song dynasty historian, scholar, and high-ranking official in imperial China.
-
D.
Guangqi
Guangqi is the given name of Xu Guangqi, a prominent Ming dynasty scholar-official, scientist, and collaborator with Jesuit missionaries in introducing Western science to China.
-
E.
Guangqi
Guangqi was the era name used during part of Emperor Xizong of the Tang dynasty’s reign in late ninth-century China.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1242515ec8190b015bf8c7b13be85 |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 7:56 p.m.