Triple
T17591096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir Peter Burt |
E428448
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Bank of Scotland |
—
|
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: Bank of Scotland | Statement: [Sir Peter Burt, employer, Bank of Scotland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bank of Scotland Context triple: [Sir Peter Burt, employer, Bank of Scotland]
-
A.
Bank of Scotland
chosen
Bank of Scotland is one of Scotland’s oldest and largest commercial banks, providing a wide range of retail and corporate banking services across the United Kingdom.
-
B.
Royal Bank of Scotland
The Royal Bank of Scotland is a major Scottish commercial and retail bank, historically one of the UK's largest banking institutions and now part of the NatWest Group.
-
C.
Ythanbank
Ythanbank is a small rural settlement in Aberdeenshire, Scotland, situated near the River Ythan.
-
D.
Midland Bank
Midland Bank was a major British commercial bank, historically one of the UK’s “Big Four,” later acquired by HSBC.
-
E.
Scottish Provident Institution
Scottish Provident Institution was a prominent Scottish life insurance and financial services company that played a significant role in the UK insurance industry.
- 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_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e469e6e3888190b73a5b6d7e8c0a55 |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 5:51 a.m.