Triple
T6962015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adobe Firefly |
E161390
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | generative AI service suite |
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 suite Context triple: [Adobe Firefly, instanceOf, generative AI service suite]
-
A.
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.
-
B.
enterprise AI product
An enterprise AI product is a scalable, secure software solution that embeds artificial intelligence into business workflows to automate tasks, augment decision-making, and deliver measurable operational and strategic value across an organization.
-
C.
multimodal large language model family
A multimodal large language model family is a group of related neural models that can jointly process and generate multiple data modalities—such as text, images, audio, or video—using shared architectures, training objectives, and parameterizations.
-
D.
intelligent personal assistant
An intelligent personal assistant is a software agent that uses artificial intelligence to understand user requests, manage tasks, and provide personalized information or services through natural language interaction.
-
E.
large language model family
A large language model family is a group of related neural network models that share a common architecture and training paradigm but vary in size, capabilities, and specialization to handle diverse natural language understanding and generation tasks.
- F. None of above. chosen
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_69c68853cff881908439d488924a8283 |
completed | March 27, 2026, 1:38 p.m. |
Created at: March 27, 2026, 2:30 p.m.