Triple

T814839
Position Surface form Disambiguated ID Type / Status
Subject Through the Years E17628 entity
Predicate hasNotableAirplay P19932 FINISHED
Object adult contemporary radio in the United States LITERAL FINISHED

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: adult contemporary radio in the United States | Statement: [Through the Years, hasNotableAirplay, adult contemporary radio in the United States]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNotableAirplay
Context triple: [Through the Years, hasNotableAirplay, adult contemporary radio in the United States]
  • A. hasNotableFeature
    Indicates that an entity possesses a specific characteristic, trait, or attribute that is considered significant or noteworthy.
  • B. playsOn
    Indicates that one entity participates or performs on a particular team, platform, or medium.
  • C. hasNotablePerformer
    Indicates that an entity features or is associated with a performer who is particularly prominent, famous, or otherwise noteworthy.
  • D. notablePlayPlayer
    Indicates that a player is notably associated with a particular play, such as by making a significant or memorable contribution in it.
  • E. airPower
    Indicates the extent to which one entity can project, control, or influence force through the use of aircraft and other aerial capabilities over another entity or area.
  • F. None of above. chosen

Provenance (4 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_69a4937bcaac8190a322524ac6f45a5a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ab5035608190bff5f3843b75e662 completed March 1, 2026, 9:10 p.m.
PD Predicate disambiguation batch_69a4aa756920819080ae82948974c876 completed March 1, 2026, 9:07 p.m.
PDg Predicate description generation batch_69a4ab4781c88190ae36906251347cdc completed March 1, 2026, 9:10 p.m.
Created at: March 1, 2026, 7:38 p.m.