Triple
T21230082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Christian O'Connell Show (Gold 104.3) |
E523186
|
entity |
| Predicate | broadcasterNationality |
P143305
|
FINISHED |
| Object | British |
—
|
LITERAL 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: British | Statement: [The Christian O'Connell Show (Gold 104.3), broadcasterNationality, British]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: broadcasterNationality Context triple: [The Christian O'Connell Show (Gold 104.3), broadcasterNationality, British]
-
A.
broadcasterCountry
Indicates the country from which a broadcaster operates or holds its primary broadcasting license.
-
B.
broadcasterType
Indicates the category or kind of broadcaster involved in the relationship or action (e.g., public, commercial, online).
-
C.
broadcasterFormerUS
Indicates that the subject is a broadcaster who formerly operated in or was formerly associated with the United States.
-
D.
notableBroadcaster
Indicates that the subject is a broadcaster who is particularly prominent, influential, or widely recognized.
-
E.
countryOfBroadcast
Indicates the country from which a broadcast is transmitted or officially originates.
- F. None of above. chosen
Provenance (4 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_69e0b512ad94819087942b2ed925185f |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e734af3d508190b3359d14496370b6 |
completed | April 21, 2026, 8:26 a.m. |
| PD | Predicate disambiguation | batch_69e5f60e1a888190ba75e2e900270a4e |
completed | April 20, 2026, 9:46 a.m. |
| PDg | Predicate description generation | batch_69e5f993240c8190847c0b08e65726c8 |
completed | April 20, 2026, 10:01 a.m. |
Created at: April 16, 2026, 3:45 p.m.