Triple
T9468759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony Cragg |
E228338
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Minster |
E361384
|
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: Minster | Statement: [Tony Cragg, notableWork, Minster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Minster Context triple: [Tony Cragg, notableWork, Minster]
-
A.
Minster
Minster is a coastal town and civil parish on the Isle of Sheppey in Kent, England, known for its historic abbey and seaside character.
-
B.
Minster
chosen
Minster is a village and civil parish in the Thanet district of Kent, England, known for its historic abbey and traditional rural character.
-
C.
Minster
Minster is a small village in western Ohio known for its strong German heritage and annual Oktoberfest celebration.
-
D.
Wimborne Minster
Wimborne Minster is a historic market town in Dorset, England, noted for its medieval minster church and traditional English character.
-
E.
Whitchurch
Whitchurch is a historic market town in northern Shropshire, England, known for its medieval origins and role as a local commercial and agricultural center.
- 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_69ca846fee388190a6ec273fd644b88b |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7fdf604481909bf7d7d477230ca3 |
completed | April 1, 2026, 8:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d122c45ae88190a43d70300bed98da |
completed | April 4, 2026, 2:40 p.m. |
Created at: March 30, 2026, 7:53 p.m.