Triple
T21392538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhao Jiwei |
E527691
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Zhao Jiwei |
—
|
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: Zhao Jiwei | Statement: [Zhao Jiwei, name, Zhao Jiwei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zhao Jiwei Context triple: [Zhao Jiwei, name, Zhao Jiwei]
-
A.
Zhao Jiwei
chosen
Zhao Jiwei is a prominent Chinese professional basketball guard known for his playmaking and leadership for both the Liaoning Flying Leopards in the CBA and the Chinese national team.
-
B.
Zeng Wei
Zeng Wei is a Chinese businessman known primarily as the son of former Chinese vice president and high-ranking Communist Party official Zeng Qinghong.
-
C.
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.
-
D.
Zhai Xiaochuan
Zhai Xiaochuan is a Chinese professional basketball player known as a key forward for the Beijing Ducks and a regular member of the Chinese national team.
-
E.
Zhu Yunjian
Zhu Yunjian was a Ming dynasty imperial prince, known as a descendant of the Hongwu Emperor through his son Zhu Biao.
- 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_69e0b51ff3748190935c0a513c62a12b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b1159a888190aabb5c2a9268bd06 |
completed | April 22, 2026, 11:29 a.m. |
Created at: April 16, 2026, 5:13 p.m.