AVCaptureSession
E759689
AVCaptureSession is a central AVFoundation class in Apple's frameworks that coordinates the flow of data from input devices like cameras and microphones to outputs such as video previews, movie files, or still images.
All labels observed (1)
| Label | Occurrences |
|---|---|
| AVCaptureSession canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T8820865 — 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: AVCaptureSession Context triple: [AVFoundation, coreClass, AVCaptureSession]
-
A.
AVFoundation
AVFoundation is Apple’s comprehensive framework for working with time-based audiovisual media, providing APIs for capturing, editing, processing, and playing audio and video across its platforms.
-
B.
ARKit framework
ARKit framework is Apple’s augmented reality development platform that enables iOS apps to blend virtual content with the real world using device cameras and motion sensors.
-
C.
FaceTime HD camera
The FaceTime HD camera is Apple's built-in high-definition webcam used in Mac devices for video calls, recording, and conferencing.
-
D.
SKCameraNode
SKCameraNode is a SpriteKit node class that represents a virtual camera used to control what portion of a 2D scene is visible on screen.
-
E.
NVIDIA Broadcast
NVIDIA Broadcast is a software application that uses AI-powered features on compatible NVIDIA GPUs to enhance audio and video quality for streaming, conferencing, and content creation.
- 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: AVCaptureSession Target entity description: AVCaptureSession is a central AVFoundation class in Apple's frameworks that coordinates the flow of data from input devices like cameras and microphones to outputs such as video previews, movie files, or still images.
-
A.
AVFoundation
AVFoundation is Apple’s comprehensive framework for working with time-based audiovisual media, providing APIs for capturing, editing, processing, and playing audio and video across its platforms.
-
B.
ARKit framework
ARKit framework is Apple’s augmented reality development platform that enables iOS apps to blend virtual content with the real world using device cameras and motion sensors.
-
C.
FaceTime HD camera
The FaceTime HD camera is Apple's built-in high-definition webcam used in Mac devices for video calls, recording, and conferencing.
-
D.
SKCameraNode
SKCameraNode is a SpriteKit node class that represents a virtual camera used to control what portion of a 2D scene is visible on screen.
-
E.
NVIDIA Broadcast
NVIDIA Broadcast is a software application that uses AI-powered features on compatible NVIDIA GPUs to enhance audio and video quality for streaming, conferencing, and content creation.
- F. None of above. chosen
Statements (57)
| Predicate | Object |
|---|---|
| instanceOf |
AVFoundation class
ⓘ
class ⓘ |
| configures | capture quality via sessionPreset ⓘ |
| conformsTo | NSObject ⓘ |
| coordinates | data flow from AVCaptureDevice to AVCaptureOutput ⓘ |
| definedInFramework | AVFoundation ⓘ |
| definedInModule | AVFoundation ⓘ |
| hasMethod |
addInput:
ⓘ
addOutput: ⓘ beginConfiguration ⓘ canAddInput: ⓘ canAddOutput: ⓘ canSetSessionPreset: ⓘ commitConfiguration ⓘ removeInput: ⓘ removeOutput: ⓘ setSessionPreset: ⓘ startRunning ⓘ stopRunning ⓘ |
| hasNotification |
AVCaptureSessionDidStartRunningNotification
ⓘ
AVCaptureSessionDidStopRunningNotification ⓘ AVCaptureSessionInterruptionEndedNotification ⓘ AVCaptureSessionRuntimeErrorNotification ⓘ AVCaptureSessionWasInterruptedNotification ⓘ |
| hasProperty |
automaticallyConfiguresApplicationAudioSession
ⓘ
inputs ⓘ interrupted ⓘ isMultitaskingCameraAccessSupported ⓘ masterClock ⓘ outputs ⓘ running ⓘ sessionPreset ⓘ usesApplicationAudioSession ⓘ |
| introducedBy |
Apple
ⓘ
linked to:
Apple Inc.
|
| lifecycle | configuration changes should be wrapped in beginConfiguration and commitConfiguration ⓘ |
| manages |
AVCaptureConnection
ⓘ
AVCaptureInput ⓘ AVCaptureOutput ⓘ |
| platform |
iOS
ⓘ
macOS ⓘ tvOS ⓘ visionOS ⓘ watchOS (limited camera support) ⓘ |
| requires | appropriate camera and microphone permissions ⓘ |
| supports | asynchronous start and stop of capture ⓘ |
| threadingModel | startRunning and stopRunning are blocking calls ⓘ |
| typicalUsage | configure inputs and outputs, then call startRunning ⓘ |
| usedFor |
coordinating capture from input devices to outputs
ⓘ
real-time audio capture ⓘ real-time video capture ⓘ still image capture ⓘ |
| usedWith |
AVCaptureAudioDataOutput
ⓘ
AVCaptureDeviceInput ⓘ AVCaptureMovieFileOutput ⓘ AVCapturePhotoOutput ⓘ AVCaptureVideoDataOutput ⓘ AVCaptureVideoPreviewLayer ⓘ |
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: AVCaptureSession Description of subject: AVCaptureSession is a central AVFoundation class in Apple's frameworks that coordinates the flow of data from input devices like cameras and microphones to outputs such as video previews, movie files, or still images.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.