Triple

T4866497
Position Surface form Disambiguated ID Type / Status
Subject Mike Nesbitt E108982 entity
Predicate employer P7 FINISHED
Object UTV
UTV is a Northern Irish television broadcaster and media company best known for operating the UTV television channel, formerly Ulster Television.
 E476923 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: UTV | Statement: [Mike Nesbitt, employer, UTV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UTV
Context triple: [Mike Nesbitt, employer, UTV]
  • A. Wheelie
    Wheelie is a small, wisecracking Autobot from the Transformers franchise known for his rhyming speech and comic-relief role.
  • B. Scooter
    Scooter is a bespectacled, eager-to-please Muppet who often serves as the backstage gofer and stage manager for The Muppet Show.
  • C. Scooter
    "Scooter" is the informal nickname given to the Douglas A-4 Skyhawk, a compact, carrier-capable attack aircraft used extensively by the U.S. Navy and Marine Corps.
  • D. Moto
    Moto is a consumer electronics brand used by Motorola Mobility for its line of smartphones and related mobile devices.
  • E. Scrambler
    Scrambler is a classic spinning amusement ride located at the Worlds of Fun theme park in Kansas City, Missouri.
  • 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: UTV
Triple: [Mike Nesbitt, employer, UTV]
Generated description
UTV is a Northern Irish television broadcaster and media company best known for operating the UTV television channel, formerly Ulster Television.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UTV
Target entity description: UTV is a Northern Irish television broadcaster and media company best known for operating the UTV television channel, formerly Ulster Television.
  • A. Wheelie
    Wheelie is a small, wisecracking Autobot from the Transformers franchise known for his rhyming speech and comic-relief role.
  • B. Scooter
    Scooter is a bespectacled, eager-to-please Muppet who often serves as the backstage gofer and stage manager for The Muppet Show.
  • C. Scooter
    "Scooter" is the informal nickname given to the Douglas A-4 Skyhawk, a compact, carrier-capable attack aircraft used extensively by the U.S. Navy and Marine Corps.
  • D. Moto
    Moto is a consumer electronics brand used by Motorola Mobility for its line of smartphones and related mobile devices.
  • E. Scrambler
    Scrambler is a classic spinning amusement ride located at the Worlds of Fun theme park in Kansas City, Missouri.
  • 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_69bd440d96a48190b0c87069adef2af1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d7a42f88190bb1ef7261bcbc2a8 completed March 20, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69be67e5d96c8190b2a509d9fb81211a completed March 21, 2026, 9:41 a.m.
NEDg Description generation batch_69be693b36b08190a0de648f0c5bdc60 completed March 21, 2026, 9:47 a.m.
NED2 Entity disambiguation (via description) batch_69be69a16b0c8190b0a787bb54b31fc3 completed March 21, 2026, 9:49 a.m.
Created at: March 20, 2026, 1:26 p.m.