Triple
T4469299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yunnan Military Academy |
E98453
|
entity |
| Predicate | notableAlumnus |
P304
|
FINISHED |
| Object | Ren Bishi |
E430854
|
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: Ren Bishi | Statement: [Yunnan Military Academy, notableAlumnus, Ren Bishi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ren Bishi Context triple: [Yunnan Military Academy, notableAlumnus, Ren Bishi]
-
A.
Ren Bishi
chosen
Ren Bishi was a prominent early leader of the Chinese Communist Party who played key roles in its organizational development and revolutionary activities.
-
B.
Bai Chong Xi
Bai Chongxi was a prominent Chinese Muslim general and political figure of the Nationalist government during the first half of the 20th century.
-
C.
Zhu Houxi
Zhu Houxi was a Ming dynasty imperial prince, known primarily as a son of the Hongzhi Emperor of China.
-
D.
Chen Qimei
Chen Qimei was an influential early Chinese revolutionary leader and close ally of Sun Yat-sen who played a key role in the overthrow of the Qing dynasty.
-
E.
Yin Jichang
Yin Jichang is a Chinese sculptor best known for designing and creating the iconic Five Rams Statue in Guangzhou.
- 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_69b3454b4ae481908967426dd37284d6 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3569cd03c8190927c596bedb45ac8 |
completed | March 13, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b66b31c9488190bc24f802fff24073 |
completed | March 15, 2026, 8:17 a.m. |
Created at: March 12, 2026, 11:34 p.m.