Triple
T8210774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ren Zhengfei |
E191810
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Zhengfei
Zhengfei is the given name of Ren Zhengfei, the Chinese entrepreneur and founder of Huawei Technologies.
|
E762719
|
NE FINISHED |
How this triple was built (4 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: Zhengfei | Statement: [Ren Zhengfei, givenName, Zhengfei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zhengfei Context triple: [Ren Zhengfei, givenName, Zhengfei]
-
A.
Yuncheng
Yuncheng is a major city in southern Shanxi Province, China, known for its historical sites and role as a regional transportation and economic hub.
-
B.
Zhizhong
Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
-
C.
Nánníng
Nánníng is the capital and largest city of China’s Guangxi Zhuang Autonomous Region, known as a major economic hub and “Green City” for its abundant subtropical vegetation.
-
D.
Zhongping
Zhongping was an era name used during the later years of Emperor Ling’s rule in the Eastern Han dynasty of China.
-
E.
Jintao
Jintao is the given name of Hu Jintao, the former President of the People's Republic of China and General Secretary of the Chinese Communist Party.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Zhengfei Triple: [Ren Zhengfei, givenName, Zhengfei]
Generated description
Zhengfei is the given name of Ren Zhengfei, the Chinese entrepreneur and founder of Huawei Technologies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zhengfei Target entity description: Zhengfei is the given name of Ren Zhengfei, the Chinese entrepreneur and founder of Huawei Technologies.
-
A.
Yuncheng
Yuncheng is a major city in southern Shanxi Province, China, known for its historical sites and role as a regional transportation and economic hub.
-
B.
Zhizhong
Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
-
C.
Nánníng
Nánníng is the capital and largest city of China’s Guangxi Zhuang Autonomous Region, known as a major economic hub and “Green City” for its abundant subtropical vegetation.
-
D.
Zhongping
Zhongping was an era name used during the later years of Emperor Ling’s rule in the Eastern Han dynasty of China.
-
E.
Jintao
Jintao is the given name of Hu Jintao, the former President of the People's Republic of China and General Secretary of the Chinese Communist Party.
- F. None of above. chosen
Provenance (5 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_69cf9fdde41081908de793672a889a67 |
completed | April 3, 2026, 11:09 a.m. |
| NEDg | Description generation | batch_69cfa14f0f3c8190bf7081e51410a491 |
completed | April 3, 2026, 11:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfa28589708190b8fc32f4944d0a37 |
completed | April 3, 2026, 11:20 a.m. |
Created at: March 30, 2026, 5:44 p.m.