Triple
T20233086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baker and Kelly: Upfront |
E495579
|
entity |
| Predicate | coHostedBy |
P5275
|
FINISHED |
| Object |
Danny Kelly
Danny Kelly is a British sports broadcaster and journalist best known for his football coverage on radio and podcasts.
|
E1418761
|
NE FINISHED |
How this triple was built (4 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, coHostedBy, Danny Kelly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danny Kelly Context triple: [Baker and Kelly: Upfront, coHostedBy, Danny Kelly]
-
A.
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.
-
B.
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.
-
C.
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."
-
D.
Jonathan Kerrigan
Jonathan Kerrigan is a British actor known for his roles in television dramas such as Casualty, Heartbeat, and In the Club.
-
E.
Tony Kelly
Tony Kelly is a person known primarily as the sibling of Dave Kelly, though further widely recognized distinguishing information is not specified.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Danny Kelly Triple: [Baker and Kelly: Upfront, coHostedBy, Danny Kelly]
Generated description
Danny Kelly is a British sports broadcaster and journalist best known for his football coverage on radio and podcasts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Danny Kelly Target entity description: Danny Kelly is a British sports broadcaster and journalist best known for his football coverage on radio and podcasts.
-
A.
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.
-
B.
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.
-
C.
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."
-
D.
Jonathan Kerrigan
Jonathan Kerrigan is a British actor known for his roles in television dramas such as Casualty, Heartbeat, and In the Club.
-
E.
Tony Kelly
Tony Kelly is a person known primarily as the sibling of Dave Kelly, though further widely recognized distinguishing information is not specified.
- F. None of above. chosen
Provenance (5 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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a084b8e73908190a0c09697d6dc1c76 |
completed | May 16, 2026, 10:48 a.m. |
| NEDg | Description generation | batch_6a084c041b5c8190881a6d08c4afe42f |
completed | May 16, 2026, 10:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a084c7dee808190a0883f7f0c7873a9 |
completed | May 16, 2026, 10:52 a.m. |
Created at: April 11, 2026, 11:40 p.m.