Triple
T18794329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tencent Holdings Limited |
E459593
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object | Chen Yidan |
—
|
NE NERFINISHED |
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: Chen Yidan | Statement: [Tencent Holdings Limited, foundedBy, Chen Yidan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chen Yidan Context triple: [Tencent Holdings Limited, foundedBy, Chen Yidan]
-
A.
Chen Yidan
chosen
Chen Yidan is a Chinese entrepreneur and philanthropist best known as a co-founder of the technology conglomerate Tencent and for his extensive work in education-focused charity.
-
B.
Gu Changwei
Gu Changwei is a renowned Chinese cinematographer and film director known for his work on acclaimed films such as "Farewell My Concubine" and "Red Sorghum."
-
C.
Wei Yunsong
Wei Yunsong was a Chinese military and political leader associated with the regional Guangxi warlord faction during the Republican era.
-
D.
Chen Yaozu
Chen Yaozu was a Chinese military figure and graduate of the prestigious Yunnan Military Academy, known for producing many influential officers in modern Chinese history.
-
E.
Chen Han
Chen Han is an actor known for appearing in the acclaimed family drama film "The Farewell."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d396f54c8190ba49db31e8743842 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a01cc0c0819098ef4326e82ff524 |
completed | April 20, 2026, 3:40 a.m. |
Created at: April 10, 2026, 11:53 a.m.