Triple
T5100899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WatchKit |
E114977
|
entity |
| Predicate | includesClass |
P1393
|
FINISHED |
| Object | WKInterfaceButton |
E114977
|
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: WKInterfaceButton | Statement: [WatchKit, includesClass, WKInterfaceButton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WKInterfaceButton Context triple: [WatchKit, includesClass, WKInterfaceButton]
-
A.
TButton
TButton is a standard clickable button control used in the Visual Component Library (VCL) for building graphical user interfaces in Delphi and C++Builder applications.
-
B.
UIKit
UIKit is Apple’s primary user interface framework for building and managing iOS app UIs, handling views, controls, event handling, and application infrastructure.
-
C.
Button, Button
"Button, Button" is a suspenseful short story by Richard Matheson that explores moral dilemmas and the consequences of greed through a mysterious offer involving a deadly button.
-
D.
WatchKit
chosen
WatchKit is Apple’s framework that enables developers to build and manage user interfaces and interactions for apps running on Apple Watch.
-
E.
BTN2Go
BTN2Go was the Big Ten Network’s dedicated online streaming platform for live and on-demand conference sports content.
- 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_69bd443fc49c819089629c00e311310c |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd758381dc8190ac491788d27ab8e0 |
completed | March 20, 2026, 4:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beba8d24388190882b9933a2a798c4 |
completed | March 21, 2026, 3:34 p.m. |
Created at: March 20, 2026, 1:40 p.m.