Triple
T17676288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BLAS |
E440649
|
entity |
| Predicate | hasImplementation |
P3697
|
FINISHED |
| Object | Apple Accelerate framework |
—
|
NE NERFINISHED |
How this triple was built (3 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: Apple Accelerate framework | Statement: [BLAS, hasImplementation, Apple Accelerate framework]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Apple Accelerate framework Context triple: [BLAS, hasImplementation, Apple Accelerate framework]
-
A.
Core Video
Core Video is a macOS multimedia framework that provides efficient, low-latency video processing and display services for applications.
-
B.
Core ML
Core ML is Apple’s machine learning framework that enables developers to integrate trained models efficiently into iOS, macOS, watchOS, and tvOS apps for on-device intelligence.
-
C.
Apple graphics and compute ecosystem
Apple graphics and compute ecosystem is the integrated stack of hardware, drivers, and software frameworks (like Metal and related tools) that powers graphics rendering and GPU-accelerated computation across Apple devices.
-
D.
Swift for TensorFlow
Swift for TensorFlow is an experimental machine learning platform that integrates TensorFlow directly into the Swift programming language to enable differentiable programming and high-performance model development.
-
E.
Quartz Extreme
Quartz Extreme is a graphics acceleration technology in macOS that offloads window compositing and interface rendering to the computer’s GPU for smoother visual performance.
- 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: Apple Accelerate framework Target entity description: Apple Accelerate framework is a high-performance macOS and iOS library that provides optimized mathematical, signal processing, and image processing routines for efficient numerical computing on Apple hardware.
-
A.
Core Video
Core Video is a macOS multimedia framework that provides efficient, low-latency video processing and display services for applications.
-
B.
Core ML
Core ML is Apple’s machine learning framework that enables developers to integrate trained models efficiently into iOS, macOS, watchOS, and tvOS apps for on-device intelligence.
-
C.
Apple graphics and compute ecosystem
Apple graphics and compute ecosystem is the integrated stack of hardware, drivers, and software frameworks (like Metal and related tools) that powers graphics rendering and GPU-accelerated computation across Apple devices.
-
D.
Swift for TensorFlow
Swift for TensorFlow is an experimental machine learning platform that integrates TensorFlow directly into the Swift programming language to enable differentiable programming and high-performance model development.
-
E.
Quartz Extreme
Quartz Extreme is a graphics acceleration technology in macOS that offloads window compositing and interface rendering to the computer’s GPU for smoother visual performance.
- F. None of above. chosen
Provenance (2 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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46f6d9ab88190ab0e25eac8b0101c |
completed | April 19, 2026, 6 a.m. |
Created at: April 10, 2026, 10 a.m.