Triple
T17615441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clifton Wrottesley |
E429070
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Wrottesley |
—
|
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: Wrottesley | Statement: [Clifton Wrottesley, familyName, Wrottesley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wrottesley Context triple: [Clifton Wrottesley, familyName, Wrottesley]
-
A.
Wrottesley
chosen
Wrottesley is an English surname historically associated with a prominent aristocratic family and the title Baron Wrottesley.
-
B.
Wolverley
Wolverley is a village in Worcestershire, England, known as the birthplace of the renowned 18th-century printer and typographer John Baskerville.
-
C.
Coseley
Coseley is a town in the West Midlands of England, situated between Wolverhampton and Dudley within the Black Country region.
-
D.
Wellesbourne
Wellesbourne is a large English village in Warwickshire, known for its historic airfield and proximity to Stratford-upon-Avon.
-
E.
Rugeley
Rugeley is a market town in Staffordshire, England, historically known for its coal mining industry and location on the River Trent.
- 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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46d3174008190a2b5bb1b061ea4df |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 5:51 a.m.