Triple
T16841892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lauren Laverne |
E409432
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | BBC Radio 6 Music |
E272215
|
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: BBC Radio 6 Music | Statement: [Lauren Laverne, employer, BBC Radio 6 Music]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BBC Radio 6 Music Context triple: [Lauren Laverne, employer, BBC Radio 6 Music]
-
A.
BBC Radio 6 Music
chosen
BBC Radio 6 Music is a digital radio station from the BBC known for its eclectic mix of alternative, indie, and specialist music programming.
-
B.
BBC Radio and Music
BBC Radio and Music is the BBC division responsible for overseeing the corporation’s UK radio stations and music-related content and strategy.
-
C.
BBC Radio 1
BBC Radio 1 is a major UK national radio station focused on contemporary popular music and youth-oriented programming.
-
D.
BBC Radio 3
BBC Radio 3 is a British national radio station operated by the BBC, best known for its focus on classical music, opera, jazz, and arts programming.
-
E.
BBC Radio 2
BBC Radio 2 is a major UK national radio station known for its broad mix of popular music, entertainment, and speech programming aimed primarily at adult listeners.
- 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b35167a48190b45a459023e3ab1b |
completed | April 18, 2026, 4:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c2a3296c8190978c1809264f66e1 |
completed | May 10, 2026, 5:38 p.m. |
Created at: April 10, 2026, 5:24 a.m.