Triple

T21199624
Position Surface form Disambiguated ID Type / Status
Subject TVML E522418 entity
Predicate fullName P16 FINISHED
Object TV Markup Language 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: TV Markup Language | Statement: [TVML, fullName, TV Markup Language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TV Markup Language
Context triple: [TVML, fullName, TV Markup Language]
  • 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. DVB-MHP
    DVB-MHP is an open middleware standard that enables interactive television applications and services on digital broadcast platforms.
  • C. HbbTV (hybrid broadcast broadband TV)
    HbbTV (Hybrid Broadcast Broadband TV) is an open standard that combines traditional broadcast television with broadband internet services to enable interactive and on-demand features on connected TVs and set-top boxes.
  • D. TVU
    TVU is the IATA airport code for Matei Airport, a small regional airport serving Taveuni Island in Fiji.
  • E. TVJS
    TVJS is a JavaScript framework used for building interactive tvOS applications, often in conjunction with TVMLKit for Apple TV user interfaces.
  • 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_69e0b51061388190aa03f19700d3ef04 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7342fe3a08190b7ed2cadf60091a8 completed April 21, 2026, 8:24 a.m.
Created at: April 16, 2026, 3:17 p.m.