Triple
T16467620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tianshun Emperor |
E399975
|
entity |
| Predicate | eraName |
P2938
|
FINISHED |
| Object | Tianshun |
E1204847
|
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: Tianshun | Statement: [Tianshun Emperor, eraName, Tianshun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tianshun Context triple: [Tianshun Emperor, eraName, Tianshun]
-
A.
Tianshun
chosen
Tianshun was the era name used during the later reign of the Ming dynasty's Zhengtong Emperor, marking his restoration to the throne in 15th-century China.
-
B.
Guisui
Guisui was the historical name for the city now known as Hohhot, a major urban center in northern China.
-
C.
Longqing
Longqing was the era name of a brief but notable period of the Ming dynasty in China, associated with the reign of the Longqing Emperor in the 16th century.
-
D.
Tianxing
Tianxing was the era name used during part of Emperor Aizong’s rule over the Jurchen-led Jin dynasty in northern China.
-
E.
Yuanxin
Yuanxin is the given name of Mao Yuanxin, a Chinese political figure known for being the nephew of Mao Zedong and a prominent youth leader during the Cultural Revolution.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32dcd707081908fb7ca91a8c09e0a |
completed | April 18, 2026, 7:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00581a11e881908681f68c26ee6a05 |
completed | May 10, 2026, 10:04 a.m. |
Created at: April 10, 2026, 5:11 a.m.