Triple
T17931674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CYBG plc |
E448347
|
entity |
| Predicate | successorBrand |
P6643
|
FINISHED |
| Object | Virgin Money |
—
|
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: Virgin Money | Statement: [CYBG plc, successorBrand, Virgin Money]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Virgin Money Context triple: [CYBG plc, successorBrand, Virgin Money]
-
A.
Virgin Money
chosen
Virgin Money is a UK-based financial services company offering banking and related products under Richard Branson’s Virgin brand.
-
B.
First Direct
First Direct is a UK-based telephone and online retail bank known for pioneering 24-hour, branchless banking services.
-
C.
Barclaycard
Barclaycard is a major British credit card and payment services brand owned by Barclays, known for its widespread consumer and business financial products and past high-profile sports sponsorships.
-
D.
M&S Bank
M&S Bank is a UK-based retail bank offering personal finance products and services under the Marks & Spencer brand.
-
E.
N26
N26 is a German digital bank and fintech company offering app-based banking services across multiple European markets.
- 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_69d8b9f79d14819095540856928f0e25 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a552bb848190871251474cc208d5 |
completed | April 19, 2026, 9:50 a.m. |
Created at: April 10, 2026, 10:20 a.m.