Triple
T21060615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TVJS |
E518837
|
entity |
| Predicate | relatedTechnology |
P1485
|
FINISHED |
| Object | TVMLKit |
—
|
NE NERFINISHED |
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: TVMLKit | Statement: [TVJS, relatedTechnology, TVMLKit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TVMLKit Context triple: [TVJS, relatedTechnology, TVMLKit]
-
A.
TVMLKit
chosen
TVMLKit is an Apple framework that lets developers build tvOS apps using TVML templates, JavaScript, and web-like technologies instead of fully native UI code.
-
B.
TVML
TVML is Apple’s XML-based markup language used to define the user interface and layout of tvOS apps built with TVMLKit.
-
C.
WML
WML is the National Rail station code for Wilmslow railway station in Cheshire, England.
-
D.
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.
-
E.
WidgetKit
WidgetKit is Apple’s framework for building and managing home screen and lock screen widgets across its platforms.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69e0b505ef108190b25dd4033e2ff7eb |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6feaf3edc81909423e039cac6bd87 |
completed | April 21, 2026, 4:35 a.m. |
Created at: April 16, 2026, 2:37 p.m.