Triple
T14953536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wu Jingyu |
E372859
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Wu Jingyu |
E372859
|
NE FINISHED |
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: Wu Jingyu | Statement: [Wu Jingyu, name, Wu Jingyu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wu Jingyu Context triple: [Wu Jingyu, name, Wu Jingyu]
-
A.
Wu Jingyu
chosen
Wu Jingyu is a Chinese taekwondo athlete and multiple-time Olympic gold medalist renowned as one of the sport’s most successful competitors.
-
B.
Zhu Yunjian
Zhu Yunjian was a Ming dynasty imperial prince, known as a descendant of the Hongwu Emperor through his son Zhu Biao.
-
C.
Jiang Bingzhi
Jiang Bingzhi is the birth name of Ding Ling, a prominent 20th-century Chinese writer known for her influential leftist literature and feminist themes.
-
D.
Wen Yuansheng
Wen Yuansheng is a Chinese entrepreneur best known for founding Sany Heavy Industry, one of the world’s leading construction machinery manufacturers.
-
E.
He Jin
He Jin was a late Eastern Han dynasty general and regent whose struggle for power at court and role in suppressing peasant uprisings helped trigger the political chaos that led to the Three Kingdoms period.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6cb336c8190b8a55106fa8fc500 |
completed | April 15, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2ce5d0708190bbfff5d68c5e7a3c |
completed | May 9, 2026, 12:47 p.m. |
Created at: April 10, 2026, 2:39 a.m.