GMB
E681189
GMB is a British weekday morning television news and talk show broadcast on ITV, featuring news, interviews, and entertainment segments.
All labels observed (1)
| Label | Occurrences |
|---|---|
| GMB canonical | 1 |
Statements (40)
| Predicate | Object |
|---|---|
| instanceOf |
breakfast television programme
ⓘ
television news show ⓘ television programme ⓘ |
| broadcastMedium | television ⓘ |
| broadcastOn | ITV NERFINISHED ⓘ |
| broadcastOnChannel | ITV1 NERFINISHED ⓘ |
| broadcastSchedule | weekdays ⓘ |
| country | United Kingdom ⓘ |
| countryOfOrigin | United Kingdom ⓘ |
| filmingLocation |
London, England
ⓘ
surface form:
London
|
| format | weekday morning television news and talk show ⓘ |
| genre |
breakfast television
ⓘ
infotainment ⓘ news ⓘ talk show ⓘ |
| hasFormatFeature |
discussion panels
ⓘ
entertainment features ⓘ live studio presentation ⓘ news bulletins ⓘ studio interviews ⓘ viewer interaction ⓘ |
| hasSegment |
entertainment
ⓘ
interviews ⓘ news ⓘ sports updates ⓘ weather ⓘ |
| hasTopic |
celebrity interviews
ⓘ
current affairs ⓘ entertainment news ⓘ human interest stories ⓘ politics ⓘ |
| language | English-language television programme ⓘ |
| location |
London, England
ⓘ
surface form:
London
|
| network | ITV NERFINISHED ⓘ |
| originalLanguage | English ⓘ |
| originalNetwork | ITV NERFINISHED ⓘ |
| productionCompany | ITV Studios NERFINISHED ⓘ |
| targetAudience |
general audience
ⓘ
morning viewers in the United Kingdom ⓘ |
| timeSlot | weekday mornings ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: GMB Description of subject: GMB is a British weekday morning television news and talk show broadcast on ITV, featuring news, interviews, and entertainment segments.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.