Triple
T3960787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zoë Ball |
E85897
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | BBC Radio 1 Breakfast Show |
E77612
|
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 1 Breakfast Show | Statement: [Zoë Ball, notableWork, BBC Radio 1 Breakfast Show]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BBC Radio 1 Breakfast Show Context triple: [Zoë Ball, notableWork, BBC Radio 1 Breakfast Show]
-
A.
The Zoe Ball Breakfast Show
The Zoe Ball Breakfast Show is a popular UK morning radio programme hosted by Zoe Ball, featuring music, news, and entertainment to start the day.
-
B.
BBC Radio 1
chosen
BBC Radio 1 is a major UK national radio station focused on contemporary popular music and youth-oriented programming.
-
C.
BBC Breakfast
BBC Breakfast is a long-running British morning television news and magazine programme featuring news, interviews, weather, and lifestyle segments.
-
D.
BBC Radio 5 Live
BBC Radio 5 Live is a UK national radio station known for its live news, sport, and phone-in programming.
-
E.
This Morning
This Morning is a long-running British daytime television magazine show featuring a mix of news, interviews, lifestyle segments, and entertainment.
- 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_69aed93a96908190bcbdbfa718f155bd |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef9602a7c81909743672392f832f6 |
completed | March 9, 2026, 4:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b533b57ad08190972d385a133c73b8 |
completed | March 14, 2026, 10:08 a.m. |
Created at: March 9, 2026, 3:31 p.m.