Triple
T4469247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yunnan Military Academy |
E98453
|
entity |
| Predicate | notableAlumnus |
P304
|
FINISHED |
| Object |
Chen Yaozu
Chen Yaozu was a Chinese military figure and graduate of the prestigious Yunnan Military Academy, known for producing many influential officers in modern Chinese history.
|
E522587
|
NE FINISHED |
How this triple was built (4 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: Chen Yaozu | Statement: [Yunnan Military Academy, notableAlumnus, Chen Yaozu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chen Yaozu Context triple: [Yunnan Military Academy, notableAlumnus, Chen Yaozu]
-
A.
Zhang Chong
Zhang Chong was a prominent Chinese military and political figure from Yunnan who rose to influence during the Republican era and the early years of the People’s Republic of China.
-
B.
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.
-
C.
Zhu Chen
Zhu Chen is a Chinese-born Qatari chess grandmaster and former Women's World Chess Champion.
-
D.
Peng Yuchang
Peng Yuchang is a Chinese actor and singer known for his roles in popular youth films and television dramas.
-
E.
Zhu Yawen
Zhu Yawen is a Chinese actor known for his roles in film and television dramas, particularly in military and historical series.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Chen Yaozu Triple: [Yunnan Military Academy, notableAlumnus, Chen Yaozu]
Generated description
Chen Yaozu was a Chinese military figure and graduate of the prestigious Yunnan Military Academy, known for producing many influential officers in modern Chinese history.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chen Yaozu Target entity description: Chen Yaozu was a Chinese military figure and graduate of the prestigious Yunnan Military Academy, known for producing many influential officers in modern Chinese history.
-
A.
Zhang Chong
Zhang Chong was a prominent Chinese military and political figure from Yunnan who rose to influence during the Republican era and the early years of the People’s Republic of China.
-
B.
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.
-
C.
Zhu Chen
Zhu Chen is a Chinese-born Qatari chess grandmaster and former Women's World Chess Champion.
-
D.
Peng Yuchang
Peng Yuchang is a Chinese actor and singer known for his roles in popular youth films and television dramas.
-
E.
Zhu Yawen
Zhu Yawen is a Chinese actor known for his roles in film and television dramas, particularly in military and historical series.
- F. None of above. chosen
Provenance (5 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_69bf486aabac8190a90b4402403078ac |
completed | March 22, 2026, 1:39 a.m. |
| NEDg | Description generation | batch_69bf49c434c88190acf6058e2805ee0f |
completed | March 22, 2026, 1:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf4a2c4748819080df9bb468fd9198 |
completed | March 22, 2026, 1:47 a.m. |
Created at: March 12, 2026, 11:34 p.m.