Triple
T4469227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yunnan Military Academy |
E98453
|
entity |
| Predicate | notableAlumnus |
P304
|
FINISHED |
| Object |
Zhang Ruji
Zhang Ruji 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.
|
E444202
|
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: Zhang Ruji | Statement: [Yunnan Military Academy, notableAlumnus, Zhang Ruji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zhang Ruji Context triple: [Yunnan Military Academy, notableAlumnus, Zhang Ruji]
-
A.
Li Xiuzhen
Li Xiuzhen was the wife of prominent Chinese military leader and politician Li Zongren, who served as acting president of the Republic of China in the mid-20th century.
-
B.
Li Xiuwen
Li Xiuwen was the wife of Chinese military leader and revolutionary Ye Ting.
-
C.
Jun Xia
Jun Xia is a Chinese architect best known for serving as the lead designer of Shanghai Tower, one of the world’s tallest skyscrapers.
-
D.
Lu Lingjia
Lu Lingjia is a Chinese individual known primarily as a relative of Lu Lingzi, one of the victims of the 2013 Boston Marathon bombing.
-
E.
Hung Yan-yan
Hung Yan-yan is a Hong Kong martial artist, actor, and action choreographer known for his work in classic kung fu and action films.
- 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: Zhang Ruji Triple: [Yunnan Military Academy, notableAlumnus, Zhang Ruji]
Generated description
Zhang Ruji 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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zhang Ruji Target entity description: Zhang Ruji 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.
-
A.
Li Xiuzhen
Li Xiuzhen was the wife of prominent Chinese military leader and politician Li Zongren, who served as acting president of the Republic of China in the mid-20th century.
-
B.
Li Xiuwen
Li Xiuwen was the wife of Chinese military leader and revolutionary Ye Ting.
-
C.
Jun Xia
Jun Xia is a Chinese architect best known for serving as the lead designer of Shanghai Tower, one of the world’s tallest skyscrapers.
-
D.
Lu Lingjia
Lu Lingjia is a Chinese individual known primarily as a relative of Lu Lingzi, one of the victims of the 2013 Boston Marathon bombing.
-
E.
Hung Yan-yan
Hung Yan-yan is a Hong Kong martial artist, actor, and action choreographer known for his work in classic kung fu and action films.
- 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_69b6513446f08190b4ab18dffda9060a |
completed | March 15, 2026, 6:27 a.m. |
| NEDg | Description generation | batch_69b651e8a92881909a835e5cad3d8cb9 |
completed | March 15, 2026, 6:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b65259ccec8190a178e2d9930da0a8 |
completed | March 15, 2026, 6:31 a.m. |
Created at: March 12, 2026, 11:34 p.m.