Triple
T10205812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenny Ball |
E242191
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Kenny Ball |
E242191
|
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: Kenny Ball | Statement: [Kenny Ball, name, Kenny Ball]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kenny Ball Context triple: [Kenny Ball, name, Kenny Ball]
-
A.
Kenny Ball
chosen
Kenny Ball was a British jazz trumpeter and bandleader best known for his traditional jazz and Dixieland performances, particularly with his band Kenny Ball and His Jazzmen.
-
B.
Jools Oliver
Jools Oliver is a British former model, author, and television personality best known as the wife of celebrity chef Jamie Oliver and for her parenting and lifestyle books.
-
C.
Kenny Andrews
Kenny Andrews is an American stock car racer best known as a member of the famed Alabama Gang of Southern NASCAR drivers.
-
D.
Martin Ball
Martin Ball is a British actor known for his work in theatre, television, and musical productions in the UK.
-
E.
Lee Boardman
Lee Boardman is a British actor known for his roles in television dramas such as Rome and Coronation Street.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d395f6298c8190a4a0ad9770f10e80 |
completed | April 6, 2026, 11:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d652b489608190b844e1199e6126ce |
completed | April 8, 2026, 1:05 p.m. |
Created at: April 6, 2026, 10:48 a.m.