Triple

T31025468

Position	Surface form	Disambiguated ID	Type / Status
Subject	Autodesk Arnold GPU	`E790555`	entity
Predicate	usesTechnologyStack	`P49951`	FINISHED
Object	NVIDIA technology stack The NVIDIA technology stack is a suite of GPU-accelerated hardware and software platforms, including CUDA, libraries, and tools, designed to power high-performance computing, AI, graphics, and visualization workloads.	`E890456`	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.

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 technology stack | Statement: [Autodesk Arnold GPU, usesTechnologyStack, NVIDIA technology stack]

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 technology stack
Triple: [Autodesk Arnold GPU, usesTechnologyStack, NVIDIA technology stack]

Generated description

The NVIDIA technology stack is a suite of GPU-accelerated hardware and software platforms, including CUDA, libraries, and tools, designed to power high-performance computing, AI, graphics, and visualization workloads.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: usesTechnologyStack
Context triple: [Autodesk Arnold GPU, usesTechnologyStack, NVIDIA technology stack]

A. technologyStack
Indicates the set of technologies, tools, and platforms used together to build or run a system, application, or project.
B. usesCloudTechnologyFrom
Indicates that one entity employs or relies on cloud-based technology, services, or infrastructure provided by another entity.
C. hasTechnologySystem
Indicates that one entity possesses, utilizes, or is supported by a particular technology system.
D. usesTechnologyDevelopedBy chosen
Indicates that one entity makes use of a technology that was created or developed by another entity.
E. technologyUsedBy
Indicates that a particular technology is employed or utilized by a specified entity.
F. None of above.

Provenance (6 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_69f224c811508190a7de096a5b1f5798`	completed	April 29, 2026, 3:33 p.m.
NER	Named-entity recognition	`batch_69f760a35b988190904e6267553ad2fe`	completed	May 3, 2026, 2:50 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a291846c2488190a472ce91eb2d0c83`	completed	June 10, 2026, 7:54 a.m.
NEDg	Description generation	`batch_6a291c980a1881908f8bd99eea8b7383`	completed	June 10, 2026, 8:13 a.m.
NED2	Entity disambiguation (via description)	`batch_6a291d4ed5b88190b613ce7f759c0baf`	completed	June 10, 2026, 8:16 a.m.
PD	Predicate disambiguation	`batch_69f75eb3d6f081908c933474eb359e3d`	completed	May 3, 2026, 2:41 p.m.

Created at: April 29, 2026, 8:58 p.m.