Triple
T17827359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zeng Qinghong |
E445154
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Zeng Qinghong |
—
|
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: Zeng Qinghong | Statement: [Zeng Qinghong, name, Zeng Qinghong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zeng Qinghong Context triple: [Zeng Qinghong, name, Zeng Qinghong]
-
A.
Zeng Qinghong
chosen
Zeng Qinghong is a Chinese politician who served as Vice President of the People’s Republic of China and was a key power broker within the Chinese Communist Party in the early 2000s.
-
B.
Zeng Liqing
Zeng Liqing is a Chinese entrepreneur best known as one of the co-founders of the technology and internet conglomerate Tencent.
-
C.
Zhou Jingzhi
Zhou Jingzhi is a Chinese screenwriter best known for co-writing the historical drama film "Curse of the Golden Flower" directed by Zhang Yimou.
-
D.
Yuan Jinhua
Yuan Jinhua is a Chinese entrepreneur best known for establishing Sany Heavy Industry, one of China’s leading construction machinery manufacturers.
-
E.
Zhang Qingwei
Zhang Qingwei is a Chinese aerospace engineer and politician who has held senior roles in China’s space program and in provincial leadership.
- 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_69d8b9f1a6d881909f024bc603111cdb |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48915d0fc819080ab03feb2465834 |
completed | April 19, 2026, 7:49 a.m. |
Created at: April 10, 2026, 10:15 a.m.