Triple
T1936582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Touch Bar |
E41455
|
entity |
| Predicate | controlledBy |
P1715
|
FINISHED |
| Object | macOS Touch Bar API |
E59592
|
NE FINISHED |
How this triple was built (2 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: macOS Touch Bar API | Statement: [Touch Bar, controlledBy, macOS Touch Bar API]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: macOS Touch Bar API Context triple: [Touch Bar, controlledBy, macOS Touch Bar API]
-
A.
Touch Bar
The Touch Bar is a thin, touch-sensitive OLED strip that replaces the traditional function keys on certain MacBook Pro models, providing dynamic, context-specific controls and shortcuts.
-
B.
macOS Cocoa
chosen
macOS Cocoa is Apple’s native object-oriented application framework for building graphical user interfaces on macOS.
-
C.
macOS System Settings
macOS System Settings is the central configuration application on macOS where users manage system-wide preferences, features, and services.
-
D.
iPadOS
iPadOS is Apple’s tablet-focused operating system that builds on iOS with features and interfaces optimized for the iPad’s larger display and multitasking capabilities.
-
E.
visionOS
visionOS is Apple’s mixed-reality operating system designed for spatial computing on Apple Vision Pro, integrating 3D interfaces, gesture and eye tracking, and immersive app experiences.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a88649b24c819080047f26b6db2ded |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb2c5f6e481909b2d95861e2098f9 |
completed | March 7, 2026, 5:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3f6285c8190925af156f49cf9a2 |
completed | March 8, 2026, 10:11 p.m. |
Created at: March 4, 2026, 7:35 p.m.