Triple
T20233094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baker and Kelly: Upfront |
E495579
|
entity |
| Predicate | presenter |
P83
|
FINISHED |
| Object | Danny Kelly |
—
|
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: Danny Kelly | Statement: [Baker and Kelly: Upfront, presenter, Danny Kelly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danny Kelly Context triple: [Baker and Kelly: Upfront, presenter, Danny Kelly]
-
A.
Danny Kelly
chosen
Danny Kelly is a British sports broadcaster and journalist best known for his football coverage on radio and podcasts.
-
B.
Dan Kelly
Dan Kelly was an Australian bushranger and member of the infamous Kelly Gang, best known as the younger brother and close accomplice of outlaw Ned Kelly.
-
C.
Dan Kelly
Dan Kelly is an Australian musician best known as the frontman of the indie rock band Dan Kelly and the Alpha Males and for his work as a solo artist.
-
D.
Tim O'Kelly
Tim O'Kelly is an American actor best known for his role as the young police officer in Peter Bogdanovich's 1968 film "Targets."
-
E.
Jonathan Kerrigan
Jonathan Kerrigan is a British actor known for his roles in television dramas such as Casualty, Heartbeat, and In the Club.
- 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e67166d4d081908c4b8eeb66e7e090 |
completed | April 20, 2026, 6:33 p.m. |
Created at: April 11, 2026, 11:40 p.m.