Triple
T18178467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BrainScript |
E435221
|
entity |
| Predicate | integratesWith |
P1075
|
FINISHED |
| Object | CNTK GPU execution engine |
—
|
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: CNTK GPU execution engine | Statement: [BrainScript, integratesWith, CNTK GPU execution engine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CNTK GPU execution engine Context triple: [BrainScript, integratesWith, CNTK GPU execution engine]
-
A.
Microsoft Cognitive Toolkit
chosen
Microsoft Cognitive Toolkit (CNTK) is an open-source deep learning framework developed by Microsoft for building, training, and deploying neural networks at scale.
-
B.
ONNX Runtime
ONNX Runtime is a high-performance, cross-platform inference engine for running machine learning models in the Open Neural Network Exchange (ONNX) format across a variety of hardware and deployment environments.
-
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.
cuDNN
cuDNN is NVIDIA’s GPU-accelerated library of optimized primitives for deep neural networks, widely used to speed up training and inference in frameworks like TensorFlow and PyTorch.
-
E.
NVIDIA CUDA-X AI
NVIDIA CUDA-X AI is a GPU-accelerated software stack from NVIDIA that provides optimized libraries, tools, and frameworks for building and deploying high-performance AI and data science applications.
- 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_69d8b90c7ec081909b4694ccecb449c6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4df5b68f081908aac8210270f1499 |
completed | April 19, 2026, 1:57 p.m. |
Created at: April 10, 2026, 10:31 a.m.