Triple
T17805407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basil Wolverton |
E444544
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Wolverton |
—
|
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: Wolverton | Statement: [Basil Wolverton, familyName, Wolverton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wolverton Context triple: [Basil Wolverton, familyName, Wolverton]
-
A.
Wolverton
chosen
Wolverton is a historic railway town in Buckinghamshire, England, now part of the Milton Keynes urban area.
-
B.
Woolverton
Woolverton is a surname most notably associated with American screenwriter and playwright Linda Woolverton, known for her work on major Disney films.
-
C.
Wolterton
Wolterton is an English country estate and civil parish in Norfolk, best known as the setting of the historic Wolterton Hall.
-
D.
Witton
Witton is a district in Birmingham, England, known for its residential character and proximity to major transport links and Aston Villa’s football stadium.
-
E.
Woolton
Woolton is a suburban district of Liverpool, England, known for its historic village character and associations with The Beatles.
- 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4880385b48190b8dea0f05dfa1300 |
completed | April 19, 2026, 7:45 a.m. |
Created at: April 10, 2026, 10:14 a.m.