Triple
T8823905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AMD FidelityFX Super Resolution |
E209966
|
entity |
| Predicate | hostedOn |
P16030
|
FINISHED |
| Object |
GPUOpen
GPUOpen is AMD's open-source initiative and developer portal that provides tools, libraries, and resources for graphics and game development on Radeon GPUs.
|
E760440
|
NE FINISHED |
How this triple was built (4 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: GPUOpen | Statement: [AMD FidelityFX Super Resolution, hostedOn, GPUOpen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GPUOpen Context triple: [AMD FidelityFX Super Resolution, hostedOn, GPUOpen]
-
A.
NVIDIA OptiX
NVIDIA OptiX is a GPU-accelerated, programmable ray tracing engine and API from NVIDIA used to build high-performance, photorealistic rendering and simulation applications.
-
B.
OpenCL
OpenCL is an open, cross-platform framework for writing programs that execute across heterogeneous systems including CPUs, GPUs, and other processors.
-
C.
CUDA Driver API
The CUDA Driver API is a low-level programming interface from NVIDIA that gives developers fine-grained control over GPU resources and execution for CUDA applications.
-
D.
SYCL
SYCL is a C++-based, cross-platform abstraction layer for heterogeneous parallel programming, designed to enable single-source development for CPUs, GPUs, and other accelerators.
-
E.
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.
- 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: GPUOpen Triple: [AMD FidelityFX Super Resolution, hostedOn, GPUOpen]
Generated description
GPUOpen is AMD's open-source initiative and developer portal that provides tools, libraries, and resources for graphics and game development on Radeon GPUs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GPUOpen Target entity description: GPUOpen is AMD's open-source initiative and developer portal that provides tools, libraries, and resources for graphics and game development on Radeon GPUs.
-
A.
NVIDIA OptiX
NVIDIA OptiX is a GPU-accelerated, programmable ray tracing engine and API from NVIDIA used to build high-performance, photorealistic rendering and simulation applications.
-
B.
OpenCL
OpenCL is an open, cross-platform framework for writing programs that execute across heterogeneous systems including CPUs, GPUs, and other processors.
-
C.
CUDA Driver API
The CUDA Driver API is a low-level programming interface from NVIDIA that gives developers fine-grained control over GPU resources and execution for CUDA applications.
-
D.
SYCL
SYCL is a C++-based, cross-platform abstraction layer for heterogeneous parallel programming, designed to enable single-source development for CPUs, GPUs, and other accelerators.
-
E.
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.
- F. None of above. chosen
Provenance (5 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_69ca8364e13081909c85fe80f44fe86f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc6030b25081909d67488b35a72e05 |
completed | April 1, 2026, midnight |
| NED1 | Entity disambiguation (via context triple) | batch_69cf893e08b0819083c2d152d0f9c263 |
completed | April 3, 2026, 9:32 a.m. |
| NEDg | Description generation | batch_69cf8a3d8e548190911d44ee36875d44 |
completed | April 3, 2026, 9:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf8ae86e1881908a77f660c061bf69 |
completed | April 3, 2026, 9:39 a.m. |
Created at: March 30, 2026, 6:46 p.m.