Triple
T22847480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Empress Longyu |
E566262
|
entity |
| Predicate | personalName |
P24312
|
FINISHED |
| Object | Jingfen |
—
|
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: Jingfen | Statement: [Empress Longyu, personalName, Jingfen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jingfen Context triple: [Empress Longyu, personalName, Jingfen]
-
A.
Jingfen
chosen
Jingfen was the personal name of Empress Dowager Ci'an, a prominent Qing dynasty empress and co-regent of late 19th-century China.
-
B.
Yanjing
Yanjing was a historic Chinese capital city, best known as the former name of modern-day Beijing.
-
C.
Zicheng
Zicheng is the courtesy name of Zeng Guofan, a prominent Qing dynasty statesman, military leader, and Confucian scholar who played a key role in suppressing the Taiping Rebellion.
-
D.
Juxian
Juxian is a county-level city in eastern China's Shandong province, known for its agricultural production and location on the Shandong Peninsula.
-
E.
Houyuan
Houyuan was a historical Chinese era name used during the reign of Emperor Jing of the Western Han dynasty.
- 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_69e2458750b481908a8e4cf4609cc6cf |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e89ab348190a31260221195ae67 |
completed | April 29, 2026, 3:44 a.m. |
Created at: April 17, 2026, 3:36 p.m.