Triple

T5432809
Position Surface form Disambiguated ID Type / Status
Subject TVMLKit E121535 entity
Predicate relatedTo P37 FINISHED
Object TVML
TVML is Apple’s XML-based markup language used to define the user interface and layout of tvOS apps built with TVMLKit.
 E522418 NE FINISHED

How this triple was built (4 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: [TVMLKit, relatedTo, TVML]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TVML
Context triple: [TVMLKit, relatedTo, TVML]
  • A. 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.
  • B. WML
    WML is the National Rail station code for Wilmslow railway station in Cheshire, England.
  • C. 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.
  • D. HTM
    HTM is the public transport company that operates trams and buses in and around The Hague in the Netherlands.
  • E. HAL (Hypertext Application Language)
    HAL (Hypertext Application Language) is a simple, JSON-based hypermedia format that standardizes how to represent and navigate links and embedded resources in RESTful APIs.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: TVML
Triple: [TVMLKit, relatedTo, TVML]
Generated description
TVML is Apple’s XML-based markup language used to define the user interface and layout of tvOS apps built with TVMLKit.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TVML
Target entity description: TVML is Apple’s XML-based markup language used to define the user interface and layout of tvOS apps built with TVMLKit.
  • A. 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.
  • B. WML
    WML is the National Rail station code for Wilmslow railway station in Cheshire, England.
  • C. 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.
  • D. HTM
    HTM is the public transport company that operates trams and buses in and around The Hague in the Netherlands.
  • E. HAL (Hypertext Application Language)
    HAL (Hypertext Application Language) is a simple, JSON-based hypermedia format that standardizes how to represent and navigate links and embedded resources in RESTful APIs.
  • F. None of above. chosen

Provenance (5 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_69bd463c65f0819082ee6483ab4b466a completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd8840ade481909dae2eecc77d73b8 completed March 20, 2026, 5:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf487db2bc81908822d3adadaff0dd completed March 22, 2026, 1:40 a.m.
NEDg Description generation batch_69bf497a88b48190b87bf175fe224211 completed March 22, 2026, 1:44 a.m.
NED2 Entity disambiguation (via description) batch_69bf4a1f6e1c8190a9ae94e45fb16cf9 completed March 22, 2026, 1:47 a.m.
Created at: March 20, 2026, 2:06 p.m.