Triple
T11674717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nurhaci |
E277462
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Nurhaci |
E277462
|
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: Nurhaci | Statement: [Nurhaci, name, Nurhaci]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nurhaci Context triple: [Nurhaci, name, Nurhaci]
-
A.
Nurhaci
chosen
Nurhaci was the Jurchen chieftain who unified the Manchu tribes and laid the foundations for the Qing dynasty’s conquest of China.
-
B.
Altan Khan
Altan Khan was a 16th-century Mongol leader of the Tümed who revitalized Mongol power in Inner Asia and forged a crucial alliance with the Gelug school of Tibetan Buddhism, helping establish the title "Dalai Lama."
-
C.
Hong Taiji
Hong Taiji was a 17th-century Manchu ruler who transformed the Later Jin into the Qing dynasty and laid the foundations for Qing rule over China.
-
D.
Dorgon
Dorgon was a powerful Manchu prince and regent of the early Qing dynasty who led the conquest of Ming China and helped establish Qing rule over the empire.
-
E.
Yelü Abaoji
Yelü Abaoji was the Khitan chieftain who became the first emperor of the Liao dynasty, laying the foundations of a powerful multi-ethnic empire in northern China in the 10th century.
- 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a44504c48190b519765a83ff9c5e |
completed | April 10, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef13e1b3d8819085ea806280ed69d3 |
completed | April 27, 2026, 7:44 a.m. |
Created at: April 8, 2026, 9:40 p.m.