Adélaïde
E348792
Adélaïde is the given first name of Juliette Récamier, the famed French socialite and salon hostess of the early 19th century.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Adélaïde canonical | 3 |
Statements (17)
| Predicate | Object |
|---|---|
| instanceOf |
French feminine given name
ⓘ
given name ⓘ |
| birthName |
Juliette Récamier
ⓘ
surface form:
Jeanne-Françoise-Adélaïde Récamier
|
| derivedFrom |
Adelaide
ⓘ
Adelheid ⓘ |
| givenName | Adélaïde self-linksurface differs ⓘ |
| hasDiacritic | acute accent on e ⓘ |
| hasGender | feminine ⓘ |
| hasLanguage | French ⓘ |
| hasMeaning |
noble
ⓘ
of noble kind ⓘ |
| hasVariant |
Adelaide
ⓘ
Adelheid ⓘ |
| nameDayInFrance | December 16 ⓘ |
| usedBy | Juliette Récamier ⓘ |
| usedInCountry | France ⓘ |
| writingSystem | Latin alphabet ⓘ |
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: Adélaïde Description of subject: Adélaïde is the given first name of Juliette Récamier, the famed French socialite and salon hostess of the early 19th century.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.