Triple
T31025468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Autodesk Arnold GPU |
E790555
|
entity |
| Predicate | usesTechnologyStack |
P49951
|
FINISHED |
| Object | NVIDIA technology stack |
—
|
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: NVIDIA technology stack | Statement: [Autodesk Arnold GPU, usesTechnologyStack, NVIDIA technology stack]
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 (3 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. |
| PD | Predicate disambiguation | batch_69f75eb3d6f081908c933474eb359e3d |
completed | May 3, 2026, 2:41 p.m. |
Created at: April 29, 2026, 8:58 p.m.