Triple
T3738932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Didi Chuxing |
E79652
|
entity |
| Predicate | keyPerson |
P256
|
FINISHED |
| Object | Cheng Wei |
E426299
|
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: Cheng Wei | Statement: [Didi Chuxing, keyPerson, Cheng Wei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cheng Wei Context triple: [Didi Chuxing, keyPerson, Cheng Wei]
-
A.
Cheng Wei
chosen
Cheng Wei is a Chinese entrepreneur best known as the founder and CEO of ride-hailing giant Didi Chuxing.
-
B.
Cui Hao
Cui Hao was a prominent poet of the Tang dynasty in China, best known for his evocative landscape and frontier poems.
-
C.
Chen Cheng
Chen Cheng was a prominent Chinese military leader and politician who played key roles in the Nationalist government and later served as Premier and Vice President of the Republic of China in Taiwan.
-
D.
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.
-
E.
Shu Chien
Shu Chien is a renowned Chinese-American physiologist and bioengineer recognized for pioneering contributions to cardiovascular biomechanics and microcirculation research.
- 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_69ad8b115610819095b02007da5ca3cb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb404b908190b6b4ee583dee3cc9 |
completed | March 8, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5c6ed5910819095de0dce09bd50b8 |
completed | March 14, 2026, 8:37 p.m. |
Created at: March 8, 2026, 3:34 p.m.