Triple
T18645989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenney Jones |
E455804
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Surrey, England |
—
|
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: Surrey, England | Statement: [Kenney Jones, residence, Surrey, England]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Surrey, England Context triple: [Kenney Jones, residence, Surrey, England]
-
A.
Surrey, England
chosen
Surrey, England is a county in South East England known for its affluent towns, leafy suburbs, and proximity to London.
-
B.
Kenley, Surrey, England
Kenley, Surrey, England is a suburban district in South London known for its historic airfield and green, residential character.
-
C.
Richmond, Surrey, England
Richmond, Surrey, England is a historic town on the River Thames in southwest London, long associated with English royalty and aristocratic residences.
-
D.
Surrey
Surrey is a county in southeast England known for its historic towns, affluent suburbs, and proximity to London.
-
E.
Surrey
Surrey is a large, rapidly growing city in the Metro Vancouver region of southwestern British Columbia, Canada.
- 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_69d8d38ea1e88190997e9b231190ba6f |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5500d69648190800da65de0c191b8 |
completed | April 19, 2026, 9:58 p.m. |
Created at: April 10, 2026, 11:47 a.m.