Triple
T11674758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nurhaci |
E277462
|
entity |
| Predicate | opponent |
P437
|
FINISHED |
| Object | Yuan Chonghuan |
E811096
|
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: Yuan Chonghuan | Statement: [Nurhaci, opponent, Yuan Chonghuan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yuan Chonghuan Context triple: [Nurhaci, opponent, Yuan Chonghuan]
-
A.
Yuan Chonghuan
chosen
Yuan Chonghuan was a prominent Ming dynasty military commander and statesman known for his defense against Manchu invasions in early 17th-century China.
-
B.
Yu Rongguang
Yu Rongguang is a Chinese martial artist and actor known for his roles in Hong Kong action and martial arts films.
-
C.
Zeng Chenggong
Zeng Chenggong, better known in the West as Koxinga, was a 17th-century Ming loyalist military leader who expelled the Dutch from Taiwan and established a Chinese regime on the island.
-
D.
Liang Juhao
Liang Juhao was a military commander known for leading forces in the Battle of Toungoo during the conflicts between Chinese and Burmese forces in the mid-20th century.
-
E.
Sheng Xuanhuai
Sheng Xuanhuai was a late Qing dynasty Chinese industrialist and statesman who played a key role in China's early modernization, particularly in industry, commerce, and education.
- 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.