Triple
T19514402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cathy Hughes |
E488239
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Radio 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: Radio One | Statement: [Cathy Hughes, employer, Radio One]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Radio One Context triple: [Cathy Hughes, employer, Radio One]
-
A.
Radio One, Inc.
chosen
Radio One, Inc. is a major American media company specializing in radio broadcasting and entertainment targeted primarily toward African American audiences.
-
B.
Radio America
Radio America is a U.S.-based conservative talk radio network known for syndicating political commentary and news programs.
-
C.
Radio 5
Radio 5 is a Spanish public radio station operated by RTVE that focuses on continuous news and current affairs coverage.
-
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.
Radio X
Radio X is a UK-based commercial radio brand known for playing alternative and indie rock music, targeting a predominantly young adult audience.
- 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.