Triple
T19580572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Empress Xiaocigao |
E489976
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Dorgon |
—
|
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: Dorgon | Statement: [Empress Xiaocigao, mother, Dorgon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dorgon Context triple: [Empress Xiaocigao, mother, Dorgon]
-
A.
Dorgon
chosen
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.
-
B.
Toghon
Toghon was a Mongol prince and military commander of the Yuan dynasty who led major campaigns against Đại Việt (Vietnam) in the 13th century.
-
C.
Toghon Taishi
Toghon Taishi was a prominent 15th-century Oirat leader who played a key role in unifying Mongol tribes and influencing the politics of the late Northern Yuan dynasty.
-
D.
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.
-
E.
Galdan Boshugtu Khan
Galdan Boshugtu Khan was a prominent 17th-century Dzungar leader and military commander who expanded and consolidated the Dzungar Khanate in Central Asia.
- 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e640281b7c8190be44268a58df058f |
completed | April 20, 2026, 3:03 p.m. |
Created at: April 10, 2026, 1:42 p.m.