Triple
T8210776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ren Zhengfei |
E191810
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | 任正非 |
E191810
|
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: 任正非 | Statement: [Ren Zhengfei, nativeName, 任正非]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 任正非 Context triple: [Ren Zhengfei, nativeName, 任正非]
-
A.
Ren Zhengfei
chosen
Ren Zhengfei is a Chinese entrepreneur best known as the founder and longtime leader of the telecommunications giant Huawei Technologies.
-
B.
Liu Chuanzhi
Liu Chuanzhi is a Chinese entrepreneur best known as the founder and longtime leader of Lenovo, which he built into one of the world’s largest personal computer manufacturers.
-
C.
马云
马云是中国著名企业家、阿里巴巴集团创始人之一及前董事局主席，以推动中国电子商务和互联网产业发展而闻名。
-
D.
Wang Chuanfu
Wang Chuanfu is a Chinese entrepreneur and engineer best known as the billionaire founder and chairman of electric vehicle and battery giant BYD.
-
E.
Zhang Ruimin
Zhang Ruimin is a prominent Chinese business executive best known for transforming Haier into a leading global home appliance and electronics brand.
- 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_69ca82c8c054819087fedd9a5436b8a3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb76dd881c8190adcbeb2f33d3295c |
completed | March 31, 2026, 7:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccede2e4f481908edca856038772d3 |
completed | April 1, 2026, 10:05 a.m. |
Created at: March 30, 2026, 5:44 p.m.