Triple

T5035574
Position Surface form Disambiguated ID Type / Status
Subject Radio One E113411 entity
Predicate alsoKnownAs P39 FINISHED
Object Urban One E488238 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: Urban One | Statement: [Radio One, alsoKnownAs, Urban One]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Urban One
Context triple: [Radio One, alsoKnownAs, 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. 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.
  • C. Radio One, Inc.
    Radio One, Inc. is a major American media company specializing in radio broadcasting and entertainment targeted primarily toward African American audiences.
  • D. Westwood One
    Westwood One is a major American radio network best known for its nationwide sports coverage, including live broadcasts of NFL games.
  • E. BET Networks
    BET Networks is an American television network and media company focused on African American audiences, known for producing and broadcasting entertainment, music, and cultural programming.
  • 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_69bd44384298819089c49e7c330ec7b8 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd73b9ad488190a2a8c4da8858eb91 completed March 20, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea479f01c8190a84ff4973845eb17 completed March 21, 2026, 2 p.m.
Created at: March 20, 2026, 1:36 p.m.