Triple
T6483308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brian Minchin |
E146446
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | BBC Wales |
E73098
|
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 Wales | Statement: [Brian Minchin, employer, BBC Wales]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BBC Wales Context triple: [Brian Minchin, employer, BBC Wales]
-
A.
BBC Cymru Wales
chosen
BBC Cymru Wales is the Welsh division of the BBC responsible for producing television, radio, and online content, including various drama series and regional programming.
-
B.
BBC Radio Wales
BBC Radio Wales is the national English-language radio station for Wales, operated by the BBC and offering a mix of news, talk, music, and cultural programming tailored to Welsh audiences.
-
C.
BBC Radio Cymru
BBC Radio Cymru is a Welsh-language national radio station providing news, music, and cultural programming across Wales.
-
D.
Channel Four Wales
Channel Four Wales is the English-language name for S4C, the Welsh-language public service television channel broadcasting in Wales.
-
E.
TrawsCymru
TrawsCymru is a long-distance bus network in Wales that provides inter-urban and regional coach services connecting major towns and cities.
- 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_69c0090158c08190af0df9a2348d2d52 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a6cd0c4819085a921e6a361d91c |
completed | March 22, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c653afb1148190a8683f24a553f64d |
completed | March 27, 2026, 9:53 a.m. |
Created at: March 22, 2026, 4:52 p.m.