API for Whisper
E17415
API for Whisper is OpenAI’s cloud-based interface for programmatically accessing its Whisper speech recognition model to transcribe and translate audio.
All labels observed (3)
| Label | Occurrences |
|---|---|
| API for Whisper canonical | 1 |
| OpenAI Whisper model | 1 |
| Speech2Text | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T146331 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: API for Whisper Context triple: [OpenAI, product, API for Whisper]
-
A.
BARD Mobile app
The BARD Mobile app is a specialized application that provides accessible audio and braille books and magazines to people who are blind, visually impaired, or print disabled.
-
B.
Google Assistant
Google Assistant is Google's AI-powered virtual assistant that provides voice-activated help, information, and smart device control across phones, speakers, watches, and other connected devices.
-
C.
OpenAI
OpenAI is an artificial intelligence research organization best known for developing advanced AI models such as ChatGPT and GPT series.
-
D.
Skype
Skype is a widely used internet-based communication service that enables voice calls, video chats, and instant messaging across computers and mobile devices.
-
E.
Audion
Audion is an early triode vacuum tube invented by Lee de Forest that enabled the amplification of electrical signals and was crucial to the development of radio and electronics.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: API for Whisper Target entity description: API for Whisper is OpenAI’s cloud-based interface for programmatically accessing its Whisper speech recognition model to transcribe and translate audio.
-
A.
BARD Mobile app
The BARD Mobile app is a specialized application that provides accessible audio and braille books and magazines to people who are blind, visually impaired, or print disabled.
-
B.
Google Assistant
Google Assistant is Google's AI-powered virtual assistant that provides voice-activated help, information, and smart device control across phones, speakers, watches, and other connected devices.
-
C.
OpenAI
OpenAI is an artificial intelligence research organization best known for developing advanced AI models such as ChatGPT and GPT series.
-
D.
Skype
Skype is a widely used internet-based communication service that enables voice calls, video chats, and instant messaging across computers and mobile devices.
-
E.
Audion
Audion is an early triode vacuum tube invented by Lee de Forest that enabled the amplification of electrical signals and was crucial to the development of radio and electronics.
- F. None of above. chosen
Statements (45)
| Predicate | Object |
|---|---|
| instanceOf |
OpenAI product
ⓘ
cloud service ⓘ speech recognition API ⓘ |
| accessMethod |
HTTP API
ⓘ
REST API ⓘ |
| authenticationMethod | bearer token ⓘ |
| category |
machine learning API
ⓘ
speech recognition service ⓘ |
| deploymentModel | cloud-based ⓘ |
| developer | OpenAI ⓘ |
| documentationURL | https://platform.openai.com/docs ⓘ |
| inputType |
audio
ⓘ
video ⓘ |
| intendedAudience |
AI application builders
ⓘ
software developers ⓘ |
| maintainer | OpenAI ⓘ |
| outputType |
text transcription
ⓘ
text translation ⓘ |
| pricingModel | usage-based ⓘ |
| provider |
OpenAI API platform
ⓘ
linked to:
OpenAI
|
| providesAccessTo |
Whisper model
ⓘ
linked to:
Whisper
|
| relatedTo |
OpenAI Chat Completions API
ⓘ
OpenAI Whisper model ⓘ
linked to:
API for Whisper
|
| requires |
API key
ⓘ
internet connection ⓘ |
| supportsCapability |
automatic language detection
ⓘ
timestamped transcription (segment-level) ⓘ transcription of long-form audio ⓘ |
| supportsEnvironment |
cloud applications
ⓘ
web services ⓘ |
| supportsFormat | common audio formats ⓘ |
| supportsIntegration |
backend services
ⓘ
data processing pipelines ⓘ server-side applications ⓘ |
| supportsLanguage | multiple languages ⓘ |
| supportsOperation |
transcriptions.create
ⓘ
translations.create ⓘ |
| supportsTask |
speech transcription
ⓘ
speech translation ⓘ speech-to-text ⓘ |
| useCase |
call center transcription
ⓘ
meeting transcription ⓘ podcast transcription ⓘ video captioning ⓘ voice note transcription ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: API for Whisper Description of subject: API for Whisper is OpenAI’s cloud-based interface for programmatically accessing its Whisper speech recognition model to transcribe and translate audio.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: API for Whisper
linked to: API for Whisper