le Tapissier de Notre-Dame
E449820
"Le Tapissier de Notre-Dame" was the ironic nickname of French marshal François-Henri de Montmorency, duc de Luxembourg, referring to his many battlefield victories commemorated by captured enemy flags hung in Notre-Dame Cathedral.
All labels observed (2)
| Label | Occurrences |
|---|---|
| le Tapissier de Notre-Dame canonical | 1 |
| the upholsterer of Notre-Dame | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4527324 — 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: le Tapissier de Notre-Dame Context triple: [François-Henri de Montmorency, duc de Luxembourg, nickname, le Tapissier de Notre-Dame]
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A.
La cathédrale
"La Cathédrale" is a 1898 novel by French writer Joris-Karl Huysmans that explores Catholic mysticism and spiritual transformation through the protagonist’s immersion in the architecture and symbolism of Chartres Cathedral.
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B.
Four Horsemen of Notre Dame
The Four Horsemen of Notre Dame were the legendary backfield of Notre Dame's 1920s football team, celebrated as one of the most famous and dominant units in college football history.
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C.
La Dame de Monsoreau
La Dame de Monsoreau is a historical adventure novel by Alexandre Dumas set in 16th-century France, continuing the saga of intrigue, romance, and political conflict begun in Queen Margot.
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D.
L’Œuvre
L’Œuvre is a naturalist novel by Émile Zola that portrays the struggles of an ambitious painter in Paris whose obsessive pursuit of artistic perfection leads to personal and professional ruin.
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E.
Achter de Dom
Achter de Dom is a historic street in the center of Utrecht, Netherlands, located just behind the city’s iconic Dom Tower and cathedral complex.
- 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: le Tapissier de Notre-Dame Target entity description: "Le Tapissier de Notre-Dame" was the ironic nickname of French marshal François-Henri de Montmorency, duc de Luxembourg, referring to his many battlefield victories commemorated by captured enemy flags hung in Notre-Dame Cathedral.
-
A.
La cathédrale
"La Cathédrale" is a 1898 novel by French writer Joris-Karl Huysmans that explores Catholic mysticism and spiritual transformation through the protagonist’s immersion in the architecture and symbolism of Chartres Cathedral.
-
B.
Four Horsemen of Notre Dame
The Four Horsemen of Notre Dame were the legendary backfield of Notre Dame's 1920s football team, celebrated as one of the most famous and dominant units in college football history.
-
C.
La Dame de Monsoreau
La Dame de Monsoreau is a historical adventure novel by Alexandre Dumas set in 16th-century France, continuing the saga of intrigue, romance, and political conflict begun in Queen Margot.
-
D.
L’Œuvre
L’Œuvre is a naturalist novel by Émile Zola that portrays the struggles of an ambitious painter in Paris whose obsessive pursuit of artistic perfection leads to personal and professional ruin.
-
E.
Achter de Dom
Achter de Dom is a historic street in the center of Utrecht, Netherlands, located just behind the city’s iconic Dom Tower and cathedral complex.
- F. None of above. chosen
Statements (25)
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: le Tapissier de Notre-Dame Description of subject: "Le Tapissier de Notre-Dame" was the ironic nickname of French marshal François-Henri de Montmorency, duc de Luxembourg, referring to his many battlefield victories commemorated by captured enemy flags hung in Notre-Dame Cathedral.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject linked to:
le Tapissier de Notre-Dame
linked to: le Tapissier de Notre-Dame