Triple
T21167249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chen Mingshu |
E521597
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Chen Mingshu |
—
|
NE NERFINISHED |
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: Chen Mingshu | Statement: [Chen Mingshu, name, Chen Mingshu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chen Mingshu Context triple: [Chen Mingshu, name, Chen Mingshu]
-
A.
Chen Mingshu
chosen
Chen Mingshu was a prominent Chinese Nationalist military general and politician active during the early 20th century Republic of China era.
-
B.
Shen Junru
Shen Junru was a prominent Chinese jurist, educator, and political figure who played a key role in modern China's legal and educational development.
-
C.
Chen Zhaoying
Chen Zhaoying was a Chinese military figure and graduate of the Yunnan Military Academy who became notable for his role in early 20th-century Chinese military and political affairs.
-
D.
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.
-
E.
Luo Changyu
Luo Changyu is a central character in the Chinese film "The Road Home," serving as the beloved village schoolteacher whose relationship with the heroine drives the story’s emotional core.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b50e30748190b186824a206d39b9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7270fce708190a5715b55b406dd4e |
completed | April 21, 2026, 7:28 a.m. |
Created at: April 16, 2026, 3 p.m.