Triple
T11016471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Application Kit |
E260377
|
entity |
| Predicate | coreClass |
P18973
|
FINISHED |
| Object |
NSImage
NSImage is a Cocoa framework class in macOS used to represent and manage image data for display in graphical user interfaces.
|
E900211
|
NE FINISHED |
How this triple was built (4 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: NSImage | Statement: [Application Kit, coreClass, NSImage]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NSImage Context triple: [Application Kit, coreClass, NSImage]
-
A.
CIImage
CIImage is a Core Image class in Apple’s frameworks that represents image data for high-performance, GPU-accelerated image processing and filtering.
-
B.
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.
-
C.
WKInterfaceImage
WKInterfaceImage is a WatchKit user interface class used to display and manage images on Apple Watch app interfaces.
-
D.
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.
-
E.
TImage
TImage is a VCL component in Delphi used to display and manipulate images within graphical user interfaces.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: NSImage Triple: [Application Kit, coreClass, NSImage]
Generated description
NSImage is a Cocoa framework class in macOS used to represent and manage image data for display in graphical user interfaces.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: NSImage Target entity description: NSImage is a Cocoa framework class in macOS used to represent and manage image data for display in graphical user interfaces.
-
A.
CIImage
CIImage is a Core Image class in Apple’s frameworks that represents image data for high-performance, GPU-accelerated image processing and filtering.
-
B.
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.
-
C.
WKInterfaceImage
WKInterfaceImage is a WatchKit user interface class used to display and manage images on Apple Watch app interfaces.
-
D.
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.
-
E.
TImage
TImage is a VCL component in Delphi used to display and manipulate images within graphical user interfaces.
- F. None of above. chosen
Provenance (5 batches)
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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797a682908190b061d1995e2866b6 |
completed | April 9, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e374d371ec8190aba9e77346c6e876 |
completed | April 18, 2026, 12:10 p.m. |
| NEDg | Description generation | batch_69e37ab6ca788190ac41f9494ad9a47f |
completed | April 18, 2026, 12:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e37c9439fc8190a69cfb1a13da4c19 |
completed | April 18, 2026, 12:44 p.m. |
Created at: April 8, 2026, 9:25 p.m.