Triple

T16753924
Position Surface form Disambiguated ID Type / Status
Subject WJZ-FM E407159 entity
Predicate owner P347 FINISHED
Object Audacy, Inc. 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, Inc. | Statement: [WJZ-FM, owner, Audacy, Inc.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Audacy, Inc.
Context triple: [WJZ-FM, owner, Audacy, Inc.]
  • 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. Cumulus Media
    Cumulus Media is a major American broadcasting company that owns and operates numerous radio stations across the United States.
  • D. Beasley Broadcast Group
    Beasley Broadcast Group is an American media company that owns and operates numerous radio stations across various markets in the United States.
  • E. Clear Channel Communications
    Clear Channel Communications was a major American media conglomerate best known for owning and operating hundreds of radio stations and outdoor advertising assets across the United States.
  • 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_69d8839174188190909f190097207065 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3aa28fd3c8190972e2e69ea7dece0 completed April 18, 2026, 3:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a525e57881908e9e9453e6d6eb73 completed May 10, 2026, 3:32 p.m.
Created at: April 10, 2026, 5:21 a.m.