Triple
T6377031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aneurin Bevan |
E143491
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Aneurin |
E142220
|
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: Aneurin | Statement: [Aneurin Bevan, givenName, Aneurin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aneurin Context triple: [Aneurin Bevan, givenName, Aneurin]
-
A.
Aneurin
chosen
Aneurin is a Welsh given name most famously borne by Aneurin Bevan, the principal architect of the United Kingdom’s National Health Service.
-
B.
Lewys
Lewys is a given name, typically a Welsh or alternative spelling of the name Lewis.
-
C.
Dafydd
Dafydd is the Welsh form of the given name David, commonly used in Wales.
-
D.
Ieuan
Ieuan is a traditional Welsh given name, equivalent to the English name Evan or John.
-
E.
Arfon
Arfon is a historic region and former district in northwest Wales, centered around the area opposite Anglesey and including parts of the county of Gwynedd.
- 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_69c008d9f4348190ab598a2913259a1c |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0683d7af881908d66d5230e1bfcb6 |
completed | March 22, 2026, 10:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c62da390c081908690ec716aed8fea |
completed | March 27, 2026, 7:11 a.m. |
Created at: March 22, 2026, 4:33 p.m.