Triple
T13872731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wu Dajing |
E333494
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | 武大靖 |
E333494
|
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: 武大靖 | Statement: [Wu Dajing, nativeName, 武大靖]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 武大靖 Context triple: [Wu Dajing, nativeName, 武大靖]
-
A.
Wu Dajing
chosen
Wu Dajing is a Chinese short track speed skater and Olympic champion known for his world-record performances in the 500-meter event.
-
B.
Zou Jingzhi
Zou Jingzhi is a Chinese screenwriter and playwright known for his work on acclaimed films and television dramas, including collaborations with director Zhang Yimou.
-
C.
He Xiaopeng
He Xiaopeng is a Chinese entrepreneur and co-founder of the electric vehicle manufacturer XPeng, known for his role in advancing smart EV technology in China.
-
D.
Zhao Hongbo
Zhao Hongbo is a Chinese former pair skater, three-time world champion, and 2010 Olympic gold medalist, renowned for his partnership with Shen Xue.
-
E.
Zhao Huanyu
Zhao Huanyu is an actor known for appearing in the Chinese film "Special ID."
- 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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de05c638248190bbe5d19f7b88d0f9 |
completed | April 14, 2026, 9:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c107c20c81909dff0ca4a59fcc55 |
completed | May 3, 2026, 9:41 p.m. |
Created at: April 9, 2026, 10:14 p.m.