Triple

T11797722
Position Surface form Disambiguated ID Type / Status
Subject Birmingham Barracudas E280541 entity
Predicate mascot P52 FINISHED
Object Cuda
Cuda is the official mascot character of the former Canadian Football League team, the Birmingham Barracudas.
 E1306122 NE FINISHED

How this triple was built (3 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.

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cuda
Context triple: [Birmingham Barracudas, mascot, Cuda]
  • A. NVIDIA CUDA
    NVIDIA CUDA is a parallel computing platform and programming model that enables developers to use NVIDIA GPUs for general-purpose high-performance computing.
  • B. CUDA toolkit
    CUDA Toolkit is NVIDIA’s software development platform that provides compilers, libraries, and tools for building and optimizing GPU-accelerated applications.
  • C. CUDA libraries
    CUDA libraries are a collection of NVIDIA-provided GPU-accelerated software libraries that offer optimized routines for tasks such as linear algebra, deep learning, signal processing, and parallel algorithms on CUDA-enabled hardware.
  • D. 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.
  • E. 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.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Cuda
Triple: [Birmingham Barracudas, mascot, Cuda]
Generated description
Cuda is the official mascot character of the former Canadian Football League team, the Birmingham Barracudas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cuda
Target entity description: Cuda is the official mascot character of the former Canadian Football League team, the Birmingham Barracudas.
  • A. NVIDIA CUDA
    NVIDIA CUDA is a parallel computing platform and programming model that enables developers to use NVIDIA GPUs for general-purpose high-performance computing.
  • B. CUDA toolkit
    CUDA Toolkit is NVIDIA’s software development platform that provides compilers, libraries, and tools for building and optimizing GPU-accelerated applications.
  • C. CUDA libraries
    CUDA libraries are a collection of NVIDIA-provided GPU-accelerated software libraries that offer optimized routines for tasks such as linear algebra, deep learning, signal processing, and parallel algorithms on CUDA-enabled hardware.
  • D. 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.
  • E. 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.
  • F. None of above. chosen

Provenance (4 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a037c1792a081909cce0eb4cd1d6870 completed May 12, 2026, 7:14 p.m.
NEDg Description generation batch_6a037ca6f5888190b0ed34777aae862f completed May 12, 2026, 7:16 p.m.
NED2 Entity disambiguation (via description) batch_6a037d319be48190b01a1b8d1f239078 completed May 12, 2026, 7:19 p.m.
Created at: April 8, 2026, 9:42 p.m.