Triple
T24928609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adobe Sensei GenAI |
E618927
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | generative AI service |
C20587
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: generative AI service Context triple: [Adobe Sensei GenAI, instanceOf, generative AI service]
-
A.
generative AI service suite
chosen
A generative AI service suite is an integrated collection of tools and APIs that create, transform, and analyze content (such as text, images, code, or audio) using advanced machine learning models to support diverse applications and workflows.
-
B.
image generation model
An image generation model is an AI system that creates new images from input data such as text prompts, reference images, or learned patterns, using techniques like deep neural networks and generative modeling.
-
C.
AI research tool
An AI research tool is a software system that leverages artificial intelligence techniques to assist in discovering, organizing, analyzing, and generating scientific knowledge and insights.
-
D.
OpenAI product
An OpenAI product is a software or service offering that applies OpenAI’s artificial intelligence models and technologies to solve specific user or business problems in a reliable, scalable, and user-friendly way.
-
E.
generation
Generation is the process or act of producing, creating, or bringing something into existence, often as a result of specific inputs, conditions, or mechanisms.
- F. None of above.
Provenance (1 batch)
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_69e2fab9edd88190b86004a78a28bc20 |
completed | April 18, 2026, 3:30 a.m. |
Created at: April 18, 2026, 5:29 a.m.