Triple
T4597843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tencent |
E100247
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Xu Chenye
Xu Chenye is a Chinese entrepreneur best known as one of the co-founders of the technology conglomerate Tencent.
|
E493637
|
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: Xu Chenye | Statement: [Tencent, foundedBy, Xu Chenye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xu Chenye Context triple: [Tencent, foundedBy, Xu Chenye]
-
A.
Xu Chenyang
Xu Chenyang is a notable alumnus of the University of Science and Technology of China recognized for his significant academic and professional achievements.
-
B.
Yao Yecheng
Yao Yecheng was the adoptive mother of Chiang Wei-kuo, the son of Chinese Nationalist leader Chiang Kai-shek.
-
C.
Lei Yixin
Lei Yixin is a Chinese sculptor internationally known for creating the monumental statue of Martin Luther King Jr. at the Washington, D.C. memorial.
-
D.
Xiong Yi
Xiong Yi was the legendary early ruler credited with establishing the ancient Chinese state of Chu during the Zhou dynasty.
-
E.
Peng Yuxing
Peng Yuxing is a Chinese chemist and former provincial science and technology official who became known for his role in Sichuan’s scientific development and subsequent investigation on corruption charges.
- 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: Xu Chenye Triple: [Tencent, foundedBy, Xu Chenye]
Generated description
Xu Chenye is a Chinese entrepreneur best known as one of the co-founders of the technology conglomerate Tencent.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Xu Chenye Target entity description: Xu Chenye is a Chinese entrepreneur best known as one of the co-founders of the technology conglomerate Tencent.
-
A.
Xu Chenyang
Xu Chenyang is a notable alumnus of the University of Science and Technology of China recognized for his significant academic and professional achievements.
-
B.
Yao Yecheng
Yao Yecheng was the adoptive mother of Chiang Wei-kuo, the son of Chinese Nationalist leader Chiang Kai-shek.
-
C.
Lei Yixin
Lei Yixin is a Chinese sculptor internationally known for creating the monumental statue of Martin Luther King Jr. at the Washington, D.C. memorial.
-
D.
Xiong Yi
Xiong Yi was the legendary early ruler credited with establishing the ancient Chinese state of Chu during the Zhou dynasty.
-
E.
Peng Yuxing
Peng Yuxing is a Chinese chemist and former provincial science and technology official who became known for his role in Sichuan’s scientific development and subsequent investigation on corruption charges.
- 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_69bd43cbc014819098b45f435908f88a |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd59420c108190b5c2c5039e964da5 |
completed | March 20, 2026, 2:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beba45b1a88190bb607182167060af |
completed | March 21, 2026, 3:33 p.m. |
| NEDg | Description generation | batch_69bebbf5c968819093aaca8a09b2ea14 |
completed | March 21, 2026, 3:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bebc8e25e08190bad1791a97b6482d |
completed | March 21, 2026, 3:43 p.m. |
Created at: March 20, 2026, 1:11 p.m.