Triple
T21060595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TVJS |
E518837
|
entity |
| Predicate | usedWith |
P4791
|
FINISHED |
| Object | TVML |
—
|
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: TVML | Statement: [TVJS, usedWith, TVML]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TVML Context triple: [TVJS, usedWith, TVML]
-
A.
TVML
chosen
TVML is Apple’s XML-based markup language used to define the user interface and layout of tvOS apps built with TVMLKit.
-
B.
TVMLKit
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.
-
C.
WML
WML is the National Rail station code for Wilmslow railway station in Cheshire, England.
-
D.
SMIL
SMIL (Synchronized Multimedia Integration Language) is a W3C XML-based markup language designed to synchronize and integrate multimedia elements such as audio, video, and text for interactive presentations on the web.
-
E.
WAP
"WAP" is a 2020 hip hop single by Cardi B featuring Megan Thee Stallion, widely known for its explicit lyrics, viral popularity, and cultural impact.
- 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.