Triple
T4469307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yunnan Military Academy |
E98453
|
entity |
| Predicate | notableAlumnus |
P304
|
FINISHED |
| Object |
He Zhihua
He Zhihua was a Chinese military officer and notable graduate of the Yunnan Military Academy who contributed to early 20th-century military affairs in China.
|
E481803
|
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: He Zhihua | Statement: [Yunnan Military Academy, notableAlumnus, He Zhihua]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: He Zhihua Context triple: [Yunnan Military Academy, notableAlumnus, He Zhihua]
-
A.
Ye Zhichao
Ye Zhichao was a late Qing dynasty Chinese general best known for commanding Chinese forces during the First Sino-Japanese War, including at the Battle of Seonghwan.
-
B.
Zhu Changhao
Zhu Changhao was a Ming dynasty imperial prince, known primarily as one of the sons of the Wanli Emperor of China.
-
C.
Zhu Chen
Zhu Chen is a Chinese-born Qatari chess grandmaster and former Women's World Chess Champion.
-
D.
Yu Xuezhong
Yu Xuezhong was a prominent Chinese military leader associated with the Northeastern Army during the Republican era.
-
E.
Zhu Jianhua
Zhu Jianhua is a former Chinese high jumper who set multiple world records in the 1980s and won a bronze medal at the 1984 Los Angeles Olympic Games.
- 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: He Zhihua Triple: [Yunnan Military Academy, notableAlumnus, He Zhihua]
Generated description
He Zhihua was a Chinese military officer and notable graduate of the Yunnan Military Academy who contributed to early 20th-century military affairs in China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: He Zhihua Target entity description: He Zhihua was a Chinese military officer and notable graduate of the Yunnan Military Academy who contributed to early 20th-century military affairs in China.
-
A.
Ye Zhichao
Ye Zhichao was a late Qing dynasty Chinese general best known for commanding Chinese forces during the First Sino-Japanese War, including at the Battle of Seonghwan.
-
B.
Zhu Changhao
Zhu Changhao was a Ming dynasty imperial prince, known primarily as one of the sons of the Wanli Emperor of China.
-
C.
Zhu Chen
Zhu Chen is a Chinese-born Qatari chess grandmaster and former Women's World Chess Champion.
-
D.
Yu Xuezhong
Yu Xuezhong was a prominent Chinese military leader associated with the Northeastern Army during the Republican era.
-
E.
Zhu Jianhua
Zhu Jianhua is a former Chinese high jumper who set multiple world records in the 1980s and won a bronze medal at the 1984 Los Angeles Olympic Games.
- 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_69be777f287c81909f700e22163ccc24 |
completed | March 21, 2026, 10:48 a.m. |
| NEDg | Description generation | batch_69be7b680ec08190957346de5c5acfa9 |
completed | March 21, 2026, 11:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be7bbeda508190ae27ab12c6748ed7 |
completed | March 21, 2026, 11:06 a.m. |
Created at: March 12, 2026, 11:34 p.m.