Mortier
E723569
Mortier is a French surname most notably borne by Édouard Mortier, a Marshal of France under Napoleon.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Mortier canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8294458 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mortier Context triple: [Édouard Mortier, familyName, Mortier]
-
A.
Môtier
Môtier is a small Swiss village in the canton of Fribourg, known for its vineyards and scenic location in the Vully region.
-
B.
Colas
Colas is a major French civil engineering and construction company best known for its global road-building and transport infrastructure activities.
-
C.
Souletin
Souletin is a distinct dialect of the Basque language traditionally spoken in the Soule (Zuberoa) region of the French Basque Country.
-
D.
Sous-Massa
Sous-Massa is a region in southwestern Morocco known for its Amazigh (Shilha) population, Atlantic coastline, and diverse agricultural and natural landscapes.
-
E.
Masson-Angers
Masson-Angers is a former municipality in western Quebec, Canada, that now forms a sector within the city of Gatineau.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mortier Target entity description: Mortier is a French surname most notably borne by Édouard Mortier, a Marshal of France under Napoleon.
-
A.
Môtier
Môtier is a small Swiss village in the canton of Fribourg, known for its vineyards and scenic location in the Vully region.
-
B.
Colas
Colas is a major French civil engineering and construction company best known for its global road-building and transport infrastructure activities.
-
C.
Souletin
Souletin is a distinct dialect of the Basque language traditionally spoken in the Soule (Zuberoa) region of the French Basque Country.
-
D.
Sous-Massa
Sous-Massa is a region in southwestern Morocco known for its Amazigh (Shilha) population, Atlantic coastline, and diverse agricultural and natural landscapes.
-
E.
Masson-Angers
Masson-Angers is a former municipality in western Quebec, Canada, that now forms a sector within the city of Gatineau.
- F. None of above. chosen
Statements (11)
| Predicate | Object |
|---|---|
| instanceOf |
French general
ⓘ
French-language surname ⓘ human ⓘ surname ⓘ |
| countryOfCitizenship | France ⓘ |
| familyName | Mortier NERFINISHED ⓘ |
| givenName | Édouard NERFINISHED ⓘ |
| hasNotableBearer | Édouard Mortier NERFINISHED ⓘ |
| languageOfOrigin | French ⓘ |
| servedUnder | Napoleon I of France NERFINISHED ⓘ |
| usedAs | family name ⓘ |
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: Mortier Description of subject: Mortier is a French surname most notably borne by Édouard Mortier, a Marshal of France under Napoleon.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.