Triple
T20455472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clifton and Bradley ward |
E501768
|
entity |
| Predicate | represents |
P129
|
FINISHED |
| Object | Bradley |
—
|
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: Bradley | Statement: [Clifton and Bradley ward, represents, Bradley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bradley Context triple: [Clifton and Bradley ward, represents, Bradley]
-
A.
Bradley
Bradley is a common English surname borne by numerous notable individuals across sports, politics, entertainment, and other fields.
-
B.
Bradley
Bradley is the given first name of American actor BD Wong, known for his roles in film, television, and theater.
-
C.
Bradley
Bradley is a masculine given name of Old English origin, traditionally meaning "broad meadow."
-
D.
Bradley
Bradley is a small town in Penobscot County, Maine, known for its rural character and proximity to the Penobscot River.
-
E.
Bradley
chosen
Bradley is a residential suburb within the town of Bilston in the West Midlands, England.
- 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_69e0b4ad4940819098cf2ff6413574e5 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e696a0dd188190ab6cbb387d9c0c1d |
completed | April 20, 2026, 9:12 p.m. |
Created at: April 16, 2026, 11:32 a.m.