Triple

T19848026
Position Surface form Disambiguated ID Type / Status
Subject Ulster Television E476922 entity
Predicate formerOwner P347 FINISHED
Object UTV Media 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: UTV Media | Statement: [Ulster Television, formerOwner, UTV Media]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UTV Media
Context triple: [Ulster Television, formerOwner, UTV Media]
  • A. UTV Motion Pictures
    UTV Motion Pictures is a major Indian film production and distribution company known for backing prominent Bollywood and regional films.
  • B. UTV Live
    UTV Live is a regional television news programme broadcast in Northern Ireland on UTV.
  • C. UNTV
    UNTV is a Philippine television network known for its public service-oriented programming, news coverage, and religious content.
  • D. U+ TV
    U+ TV is a South Korean internet protocol television (IPTV) service offered by LG Uplus, providing digital TV, video-on-demand, and multimedia content to subscribers.
  • E. UTV chosen
    UTV is a Northern Irish television broadcaster and media company best known for operating the UTV television channel, formerly Ulster Television.
  • 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_69d8e51d39d081909bcfafeaaf3d2fcc completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6580ba4948190a3260f23d011cc36 completed April 20, 2026, 4:44 p.m.
Created at: April 10, 2026, 1:51 p.m.