CIImage
E849988
CIImage is a Core Image class in Apple’s frameworks that represents image data for high-performance, GPU-accelerated image processing and filtering.
All labels observed (1)
| Label | Occurrences |
|---|---|
| CIImage canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T10214285 — 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: CIImage Context triple: [Core Image, primaryClass, CIImage]
-
A.
Core Image
Core Image is an Apple framework for high-performance image processing and analysis, offering GPU-accelerated filters and effects for macOS, iOS, and related platforms.
-
B.
WKInterfaceImage
WKInterfaceImage is a WatchKit user interface class used to display and manage images on Apple Watch app interfaces.
-
C.
imgCIF
imgCIF is a crystallographic data format designed to store and exchange image and diffraction data within the Crystallographic Information Framework.
-
D.
TImage
TImage is a VCL component in Delphi used to display and manipulate images within graphical user interfaces.
-
E.
Quartz 2D
Quartz 2D is Apple’s modern 2D graphics rendering and drawing engine used in macOS and iOS for high-quality, resolution-independent graphics.
- 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: CIImage Target entity description: CIImage is a Core Image class in Apple’s frameworks that represents image data for high-performance, GPU-accelerated image processing and filtering.
-
A.
Core Image
Core Image is an Apple framework for high-performance image processing and analysis, offering GPU-accelerated filters and effects for macOS, iOS, and related platforms.
-
B.
WKInterfaceImage
WKInterfaceImage is a WatchKit user interface class used to display and manage images on Apple Watch app interfaces.
-
C.
imgCIF
imgCIF is a crystallographic data format designed to store and exchange image and diffraction data within the Crystallographic Information Framework.
-
D.
TImage
TImage is a VCL component in Delphi used to display and manipulate images within graphical user interfaces.
-
E.
Quartz 2D
Quartz 2D is Apple’s modern 2D graphics rendering and drawing engine used in macOS and iOS for high-quality, resolution-independent graphics.
- F. None of above. chosen
Statements (50)
| Predicate | Object |
|---|---|
| instanceOf |
Core Image class
ⓘ
Objective-C class ⓘ Swift class ⓘ image representation class ⓘ |
| canBeCreatedFrom |
CGImage
ⓘ
CVPixelBuffer ⓘ HEIF data ⓘ MTLTexture ⓘ NSData ⓘ NSImage ⓘ RAW image data ⓘ UIImage ⓘ
linked to:
NSImage
URL ⓘ |
| canBeRenderedBy |
CPU
ⓘ
GPU ⓘ |
| conformsTo |
NSCopying
ⓘ
NSSecureCoding ⓘ |
| developedBy | Apple Inc. ⓘ |
| framework |
CoreImage.framework
ⓘ
linked to:
Core Image
|
| hasProperty |
colorSpace
ⓘ
extent ⓘ pixelHeight ⓘ pixelWidth ⓘ properties dictionary ⓘ |
| headerFile | CIImage.h ⓘ |
| immutable | true ⓘ |
| introducedIn |
iOS 5.0
ⓘ
macOS 10.4 ⓘ
linked to:
Mac OS X 10.4 Tiger
|
| language |
Objective-C
ⓘ
Swift ⓘ |
| partOf |
Apple Developer frameworks
ⓘ
linked to:
Apple platforms APIs
Core Image framework ⓘ
linked to:
Core Image
|
| platform |
iOS
ⓘ
macOS ⓘ tvOS ⓘ watchOS ⓘ |
| represents | image data ⓘ |
| supports |
HDR imaging
ⓘ
color management ⓘ deferred image rendering ⓘ non-destructive image processing ⓘ wide color gamut ⓘ |
| usedFor |
GPU-accelerated image processing
ⓘ
high-performance image processing ⓘ image filtering ⓘ image processing ⓘ |
| usedWith |
CIColor
ⓘ
CIContext ⓘ CIFilter ⓘ CIVector ⓘ |
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: CIImage Description of subject: CIImage is a Core Image class in Apple’s frameworks that represents image data for high-performance, GPU-accelerated image processing and filtering.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.