Triple
T21890986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jin Yunpeng |
E540544
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jin Yunpeng |
—
|
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: Jin Yunpeng | Statement: [Jin Yunpeng, name, Jin Yunpeng]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jin Yunpeng Context triple: [Jin Yunpeng, name, Jin Yunpeng]
-
A.
Jin Yunpeng
chosen
Jin Yunpeng was an early 20th-century Chinese military and political figure who twice served as premier during the turbulent warlord era of the Republic of China.
-
B.
Ji Xinpeng
Ji Xinpeng is a Chinese badminton player best known for winning the men's singles gold medal at the 2000 Sydney Olympics.
-
C.
Lin Yipeng
Lin Yipeng is the birth name of Justin Lin, a Taiwanese-American film director best known for his work on the Fast & Furious franchise.
-
D.
Zhang Yunlei
Zhang Yunlei is a popular Chinese xiangsheng (crosstalk) performer and singer, known as a prominent young member of the Deyun Society.
-
E.
He Jiong
He Jiong is a prominent Chinese television host, singer, actor, and director best known for hosting the long-running variety show "Happy Camp."
- 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_69e0c47a95908190ae3e19b716accb3d |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f11fc2124c8190a79cf115a1d30283 |
completed | April 28, 2026, 8:59 p.m. |
Created at: April 16, 2026, 7:06 p.m.