Triple
T10214081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MetalKit |
E242398
|
entity |
| Predicate | hasClass |
P9272
|
FINISHED |
| Object |
MTKView
MTKView is a specialized view class in Apple’s MetalKit framework that simplifies displaying and managing Metal-rendered graphics content in macOS and iOS apps.
|
E849972
|
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: MTKView | Statement: [MetalKit, hasClass, MTKView]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MTKView Context triple: [MetalKit, hasClass, MTKView]
-
A.
MTK
MTK is the vehicle registration code for the Main-Taunus-Kreis district in the German state of Hesse.
-
B.
SKView
SKView is the SpriteKit-specific view class in Apple’s frameworks that renders and manages SpriteKit scenes within an app’s user interface.
-
C.
MTL
MTL is the standard three-letter abbreviation used for the National Hockey League team the Montreal Canadiens.
-
D.
MTL
MTL was the ISO 4217 currency code for the Maltese lira, the former national currency of Malta before adoption of the euro.
-
E.
MTL
MTL is a research and teaching facility at MIT focused on micro- and nanotechnology, including microelectronics, MEMS, and related advanced fabrication.
- 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: MTKView Triple: [MetalKit, hasClass, MTKView]
Generated description
MTKView is a specialized view class in Apple’s MetalKit framework that simplifies displaying and managing Metal-rendered graphics content in macOS and iOS apps.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MTKView Target entity description: MTKView is a specialized view class in Apple’s MetalKit framework that simplifies displaying and managing Metal-rendered graphics content in macOS and iOS apps.
-
A.
MTK
MTK is the vehicle registration code for the Main-Taunus-Kreis district in the German state of Hesse.
-
B.
SKView
SKView is the SpriteKit-specific view class in Apple’s frameworks that renders and manages SpriteKit scenes within an app’s user interface.
-
C.
MTL
MTL was the ISO 4217 currency code for the Maltese lira, the former national currency of Malta before adoption of the euro.
-
D.
MTL
MTL is a research and teaching facility at MIT focused on micro- and nanotechnology, including microelectronics, MEMS, and related advanced fabrication.
-
E.
MTL
MTL is the standard three-letter abbreviation used for the National Hockey League team the Montreal Canadiens.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa24efc081909714d98943543283 |
completed | April 6, 2026, 12:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d652ea80dc81908bc65ee2ec390467 |
completed | April 8, 2026, 1:06 p.m. |
| NEDg | Description generation | batch_69d657818b008190a24170717cff53b9 |
completed | April 8, 2026, 1:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d65835a11c819083d069ab0f644d4c |
completed | April 8, 2026, 1:29 p.m. |
Created at: April 6, 2026, 11:04 a.m.