Triple
T5731976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agnes Lark Bettany |
E126404
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Bettany |
E129442
|
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: Bettany | Statement: [Agnes Lark Bettany, familyName, Bettany]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bettany Context triple: [Agnes Lark Bettany, familyName, Bettany]
-
A.
Bettany
chosen
Bettany is an English surname most notably associated with actor Paul Bettany.
-
B.
Leintwardine
Leintwardine is a small historic village in Herefordshire, England, near the Welsh border, known for its Roman heritage and rural setting.
-
C.
Brighthelmstone
Brighthelmstone is the historic name of the English coastal town now known as Brighton, a popular seaside resort on the south coast of England.
-
D.
Balderstone
Balderstone is a district and residential area within the Balderstone and Kirkholt ward of Rochdale in Greater Manchester, England.
-
E.
Alcover
Alcover is a municipality in the province of Tarragona, Catalonia, Spain, known for its historic architecture and proximity to the Prades Mountains.
- 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_69c0083082288190b7478cead6b5430a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02532fd308190a7434dd42a55e9ac |
completed | March 22, 2026, 5:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a906e008190bd2b9a3481733f14 |
completed | March 22, 2026, 9:09 p.m. |
Created at: March 22, 2026, 3:47 p.m.