Triple
T19203648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yangqing Jia |
E480174
|
entity |
| Predicate | contributedTo |
P37
|
FINISHED |
| Object | Caffe2 |
—
|
NE NERFINISHED |
Named-entity recognition
Before disambiguation, gpt-5-mini classified whether the object phrase is a named entity — the step behind the object's NE type shown above.
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: Caffe2 | Statement: [Yangqing Jia, contributedTo, Caffe2]
Disambiguation candidates (1 decision)
The exact options the model was shown at each disambiguation step, with the option it chose highlighted — the evidence behind this triple's disambiguated ids.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caffe2 Context triple: [Yangqing Jia, contributedTo, Caffe2]
-
A.
Caffe2
chosen
Caffe2 is a lightweight, modular deep learning framework developed by Facebook (Meta) designed for scalable training and deployment of neural networks on mobile and large-scale production environments.
-
B.
PaddlePaddle
PaddlePaddle is an open-source deep learning platform developed by Baidu, designed for large-scale distributed training and deployment of neural networks.
-
C.
NVIDIA TensorRT
NVIDIA TensorRT is a high-performance deep learning inference optimizer and runtime library designed to accelerate AI models on NVIDIA GPUs in production environments.
-
D.
PyTorch
PyTorch is an open-source deep learning framework widely used for building and training neural networks, known for its dynamic computation graph and strong support for research and production in Python.
-
E.
TensorFlow Metal
TensorFlow Metal is an integration that enables TensorFlow to run efficiently on Apple GPUs via the Metal framework, accelerating machine learning workloads on macOS and iOS devices.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
| Stage | Batch ID | Job type | Status |
|---|---|---|---|
| creating | batch_69d8e8cb8c348190b52075823911c869 |
elicitation | completed |
| NER | batch_69e5f99b37c081908c13e0b4cca52aa4 |
ner | completed |
Created at: April 10, 2026, 1:15 p.m.