Triple
T23194911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lin Zexu |
E579847
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | 林则徐 |
E140349
|
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: 林则徐 | Statement: [Lin Zexu, nativeName, 林则徐]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 林则徐 Context triple: [Lin Zexu, nativeName, 林则徐]
-
A.
李鸿章
李鸿章 was a prominent late Qing dynasty statesman, diplomat, and military leader known for his role in suppressing the Taiping Rebellion and leading China’s self-strengthening and modernization efforts.
-
B.
于谦
于谦 was a prominent Ming dynasty statesman and military leader best known for defending Beijing during the Tumu Crisis and upholding loyalist principles.
-
C.
Lin Zexu
chosen
Lin Zexu was a Qing dynasty official and scholar-statesman renowned for his staunch opposition to the opium trade and his pivotal role in events leading up to the First Opium War.
-
D.
Feng Guifen
Feng Guifen was a 19th-century Chinese scholar-official and reform thinker whose writings helped inspire the Self-Strengthening Movement in late Qing China.
-
E.
Chen Xizeng
Chen Xizeng was a Chinese military officer and notable graduate of the Yunnan Military Academy who participated in early 20th-century military and political affairs in China.
- 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_69e24600eed08190bd7e5295653a1503 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18fda64cc8190aeb5ccd8d8d20858 |
completed | April 29, 2026, 4:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c30bcb5d4819088b89ef3aa187791 |
completed | May 19, 2026, 9:43 a.m. |
Created at: April 17, 2026, 4:06 p.m.