Triple

T19514403
Position Surface form Disambiguated ID Type / Status
Subject Cathy Hughes E488239 entity
Predicate employer P7 FINISHED
Object Urban One 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: Urban One | Statement: [Cathy Hughes, employer, Urban One]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Urban One
Context triple: [Cathy Hughes, employer, Urban One]
  • A. Urban One, Inc. chosen
    Urban One, Inc. is a leading American media company focused on serving African-American audiences through radio, digital, and television platforms.
  • B. New York Public Radio
    New York Public Radio is a nonprofit media organization that operates leading public radio stations and produces acclaimed news, talk, and cultural programming in the New York City area.
  • C. NYC Media
    NYC Media is the official radio, television, and online network of the City of New York, producing and distributing municipal and cultural programming across multiple platforms.
  • D. Radio One, Inc.
    Radio One, Inc. is a major American media company specializing in radio broadcasting and entertainment targeted primarily toward African American audiences.
  • E. Cumulus Media
    Cumulus Media is a major American broadcasting company that owns and operates numerous radio stations across the United States.
  • 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_69d8e8da8bec819081f400199491ccc3 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6359a7070819099d925447c80bf23 completed April 20, 2026, 2:18 p.m.
Created at: April 10, 2026, 1:40 p.m.