Triple
T15313838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caffe |
E366103
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object | Yangqing Jia |
E480174
|
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: Yangqing Jia | Statement: [Caffe, developer, Yangqing Jia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yangqing Jia Context triple: [Caffe, developer, Yangqing Jia]
-
A.
Yangqing Jia
chosen
Yangqing Jia is a computer scientist and software engineer known for his influential work in deep learning and computer vision, including contributions to convolutional neural network architectures and open-source frameworks.
-
B.
Yang Sun
Yang Sun is an opportunistic, morally ambiguous pilot whose relationship with the protagonist Shen Te highlights themes of selfishness and survival in Bertolt Brecht’s play "The Good Person of Szechwan."
-
C.
Younan Xia
Younan Xia is a prominent chemist and materials scientist known for his pioneering work in nanomaterials synthesis and nanotechnology.
-
D.
Yu Qingfang
Yu Qingfang was a key revolutionary leader associated with the Tapani Incident, an anti-Japanese uprising in early 20th-century Taiwan.
-
E.
Yu Xuezhong
Yu Xuezhong was a prominent Chinese military leader associated with the Northeastern Army during the Republican era.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03dd050108190a584543cb93943a4 |
completed | April 16, 2026, 1:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef8a3da3881909b50cfbec0543adc |
completed | May 9, 2026, 9:04 a.m. |
Created at: April 10, 2026, 3:16 a.m.