Triple

T8823467

Position	Surface form	Disambiguated ID	Type / Status
Subject	cuDNN	`E209958`	entity
Predicate	optimizedFor	`P98`	FINISHED
Object	NVIDIA GPU architectures NVIDIA GPU architectures are the underlying hardware designs for NVIDIA’s graphics processing units, providing massively parallel compute capabilities that power high-performance graphics, AI, and scientific computing workloads.	`E760427`	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: NVIDIA GPU architectures | Statement: [cuDNN, optimizedFor, NVIDIA GPU architectures]

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07

Target entity: NVIDIA GPU architectures
Context triple: [cuDNN, optimizedFor, NVIDIA GPU architectures]

A. NVIDIA Volta architecture
NVIDIA Volta architecture is a GPU microarchitecture designed for high-performance computing and AI workloads, introducing Tensor Cores to accelerate deep learning operations.
B. NVIDIA Kepler architecture
NVIDIA Kepler architecture is a GPU microarchitecture designed to deliver high parallel computing performance and improved energy efficiency for graphics and high-performance computing workloads.
C. NVIDIA Ampere architecture
NVIDIA Ampere architecture is a GPU microarchitecture from NVIDIA that powers RTX 30-series graphics cards, delivering significant improvements in ray tracing, AI performance, and power efficiency over previous generations.
D. NVIDIA Tesla data center GPUs
NVIDIA Tesla data center GPUs are high-performance graphics processing units designed for accelerated computing workloads such as AI, machine learning, and high-performance computing in server and data center environments.
E. NVIDIA Ada Lovelace architecture
NVIDIA Ada Lovelace architecture is a GPU microarchitecture from NVIDIA that powers the RTX 40-series graphics cards, delivering major advances in ray tracing, AI acceleration, and power efficiency over previous generations.
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: NVIDIA GPU architectures
Triple: [cuDNN, optimizedFor, NVIDIA GPU architectures]

Generated description

NVIDIA GPU architectures are the underlying hardware designs for NVIDIA’s graphics processing units, providing massively parallel compute capabilities that power high-performance graphics, AI, and scientific computing workloads.

NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07

Target entity: NVIDIA GPU architectures
Target entity description: NVIDIA GPU architectures are the underlying hardware designs for NVIDIA’s graphics processing units, providing massively parallel compute capabilities that power high-performance graphics, AI, and scientific computing workloads.

A. NVIDIA Volta architecture
NVIDIA Volta architecture is a GPU microarchitecture designed for high-performance computing and AI workloads, introducing Tensor Cores to accelerate deep learning operations.
B. NVIDIA Kepler architecture
NVIDIA Kepler architecture is a GPU microarchitecture designed to deliver high parallel computing performance and improved energy efficiency for graphics and high-performance computing workloads.
C. NVIDIA Ampere architecture
NVIDIA Ampere architecture is a GPU microarchitecture from NVIDIA that powers RTX 30-series graphics cards, delivering significant improvements in ray tracing, AI performance, and power efficiency over previous generations.
D. NVIDIA Tesla data center GPUs
NVIDIA Tesla data center GPUs are high-performance graphics processing units designed for accelerated computing workloads such as AI, machine learning, and high-performance computing in server and data center environments.
E. NVIDIA Ada Lovelace architecture
NVIDIA Ada Lovelace architecture is a GPU microarchitecture from NVIDIA that powers the RTX 40-series graphics cards, delivering major advances in ray tracing, AI acceleration, and power efficiency over previous generations.
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.