Triple
T4833350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meta AI assistant |
E107997
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | large language model–based assistant |
C4098
|
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: large language model–based assistant Context triple: [Meta AI assistant, instanceOf, large language model–based assistant]
-
A.
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.
-
B.
virtual assistant
chosen
A virtual assistant is an AI-powered software agent that interacts with users through natural language to perform tasks, answer questions, and provide personalized support across digital platforms.
-
C.
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.
-
D.
text-to-speech model
A text-to-speech model is a system that converts written text into natural-sounding spoken audio using linguistic analysis and speech synthesis techniques.
-
E.
personalization tool
A personalization tool is a system or application that tailors content, experiences, or functionality to individual users based on their preferences, behavior, and contextual data.
- 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_69bd43fbe444819085cb970706ef73f7 |
completed | March 20, 2026, 12:56 p.m. |
Created at: March 20, 2026, 1:24 p.m.