Triple
T12974095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xiaomi |
E321474
|
entity |
| Predicate | notableExecutive |
P1918
|
FINISHED |
| Object | Lei Jun |
E1012321
|
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: Lei Jun | Statement: [Xiaomi, notableExecutive, Lei Jun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lei Jun Context triple: [Xiaomi, notableExecutive, Lei Jun]
-
A.
Lei Jun
chosen
Lei Jun is a Chinese entrepreneur and billionaire best known as the co-founder and CEO of the electronics and technology company Xiaomi.
-
B.
Ren Zhengfei
Ren Zhengfei is a Chinese entrepreneur best known as the founder and longtime leader of the telecommunications giant Huawei Technologies.
-
C.
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.
-
D.
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.
-
E.
Zhang Yiming
Zhang Yiming is a Chinese entrepreneur best known as the founder of ByteDance, the tech company behind TikTok and other popular content platforms.
- 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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e4322c08190abd43daadf16097f |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c0f702fc8190936a7dd292a675f8 |
completed | May 3, 2026, 3:28 a.m. |
Created at: April 9, 2026, 8:37 p.m.