Triple
T15333803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wu Yi |
E366608
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Wu Yi |
E366608
|
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 Yi | Statement: [Wu Yi, name, Wu Yi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wu Yi Context triple: [Wu Yi, name, Wu Yi]
-
A.
Wu Yi
chosen
Wu Yi is a Chinese politician who served as Vice Premier of the State Council and was widely known for her leadership in economic policy and public health crises such as the SARS outbreak.
-
B.
Wu Yuan
Wu Yuan, better known as Wu Zixu, was a famed statesman and military strategist of the Spring and Autumn period in ancient China, renowned for his role in the rise of the State of Wu.
-
C.
Wang Ye
Wang Ye is a collective title for powerful Taoist guardian deities, often venerated as royal lords who protect communities from misfortune and disease in Chinese folk religion.
-
D.
Wu Shihuo
Wu Shihuo was a Tang dynasty official and aristocrat best known as the father of China's only female emperor, Wu Zetian.
-
E.
Wu Jingyu
Wu Jingyu is a Chinese taekwondo athlete and multiple-time Olympic gold medalist renowned as one of the sport’s most successful competitors.
- 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_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e0268608190947a58f559a67717 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f2754648190bfd0bd15f20b40d2 |
completed | May 9, 2026, 4:21 p.m. |
Created at: April 10, 2026, 3:17 a.m.