Triple

T11863311
Position Surface form Disambiguated ID Type / Status
Subject Cadence13 E282212 entity
Predicate partOf P40 FINISHED
Object Audacy Podcast Network E58370 NE 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: Audacy Podcast Network | Statement: [Cadence13, partOf, Audacy Podcast Network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Audacy Podcast Network
Context triple: [Cadence13, partOf, Audacy Podcast Network]
  • A. Audacy, Inc. chosen
    Audacy, Inc. is a major American multi-platform audio and radio broadcasting company that owns and operates numerous local stations and digital audio brands across the United States.
  • B. Westwood One
    Westwood One is a major American radio network best known for its nationwide sports coverage, including live broadcasts of NFL games.
  • C. Audacy mobile app
    The Audacy mobile app is a digital platform that lets users stream live radio, music, news, sports, and podcasts from Audacy, Inc.’s network of stations and audio content.
  • D. ABC Radio Network
    ABC Radio Network was a major American radio broadcasting network that provided national news, entertainment, and syndicated programming to affiliated stations across the United States.
  • E. Podcast Media Pty Ltd
    Podcast Media Pty Ltd is the Australian software company best known for creating and maintaining the popular podcast app Pocket Casts.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ab2945d081908a5851c916cbcfb5 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a73883508190a78b5f4ba4a220df completed April 10, 2026, 7:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69f281844c048190b5476343113f2436 completed April 29, 2026, 10:09 p.m.
Created at: April 8, 2026, 9:43 p.m.