IRCAM
E143990
IRCAM is a leading Paris-based institute for research and creation in avant-garde music and sound technologies, renowned for its pioneering work in electronic and computer music.
All labels observed (4)
| Label | Occurrences |
|---|---|
| IRCAM canonical | 9 |
| Centre d’Études de Mathématique et Automatique Musicales | 1 |
| Forum IRCAM software platform | 1 |
| GRM (Groupe de Recherches Musicales) | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1250777 — 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: IRCAM Context triple: [Pierre Boulez, founded, IRCAM]
-
A.
Sonic Arts Research Centre
Sonic Arts Research Centre is a leading interdisciplinary hub for research, composition, and innovation in sound and music technologies based at Queen’s University Belfast.
-
B.
Paris Institute of Statistics (ISUP)
The Paris Institute of Statistics (ISUP) is a prestigious French grande école and university institute specializing in advanced training and research in statistics and data analysis.
-
C.
Centre National de la Recherche Scientifique
The Centre National de la Recherche Scientifique (CNRS) is France’s largest governmental research organization, renowned for its multidisciplinary scientific research across fields ranging from physics and biology to the humanities.
-
D.
Institut Polytechnique de Paris
Institut Polytechnique de Paris is a French public institution of higher education and research that groups several elite engineering and science schools into a single world-class technological university cluster.
-
E.
Conservatoire de Paris
The Conservatoire de Paris is a prestigious French higher education institution renowned for training many of the world’s leading composers, performers, and conductors in classical music and related arts.
- 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: IRCAM Target entity description: IRCAM is a leading Paris-based institute for research and creation in avant-garde music and sound technologies, renowned for its pioneering work in electronic and computer music.
-
A.
Sonic Arts Research Centre
Sonic Arts Research Centre is a leading interdisciplinary hub for research, composition, and innovation in sound and music technologies based at Queen’s University Belfast.
-
B.
Paris Institute of Statistics (ISUP)
The Paris Institute of Statistics (ISUP) is a prestigious French grande école and university institute specializing in advanced training and research in statistics and data analysis.
-
C.
Centre National de la Recherche Scientifique
The Centre National de la Recherche Scientifique (CNRS) is France’s largest governmental research organization, renowned for its multidisciplinary scientific research across fields ranging from physics and biology to the humanities.
-
D.
Institut Polytechnique de Paris
Institut Polytechnique de Paris is a French public institution of higher education and research that groups several elite engineering and science schools into a single world-class technological university cluster.
-
E.
Conservatoire de Paris
The Conservatoire de Paris is a prestigious French higher education institution renowned for training many of the world’s leading composers, performers, and conductors in classical music and related arts.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
cultural institution
ⓘ
music research institute ⓘ research center ⓘ |
| affiliation |
Centre National de la Recherche Scientifique
ⓘ
surface form:
Centre national de la recherche scientifique
French Ministry of Culture ⓘ Sorbonne University ⓘ
surface form:
Sorbonne Université
|
| country | France ⓘ |
| fieldOfWork |
acoustics
ⓘ
avant-garde music ⓘ computer music ⓘ computer-assisted composition ⓘ contemporary classical music ⓘ digital signal processing ⓘ electronic music ⓘ music informatics ⓘ music technology ⓘ sound design ⓘ sound spatialization ⓘ |
| foundedBy | Pierre Boulez ⓘ |
| hasAcademicProgram |
computer music composition courses
ⓘ
sound design training ⓘ |
| hasCollaboratedWith |
Kaija Saariaho
ⓘ
Philippe Manoury ⓘ Pierre Boulez ⓘ Tristan Murail ⓘ |
| hasDivision |
creation department
ⓘ
research department ⓘ transmission and education department ⓘ |
| headquartersLocation | Place Igor-Stravinsky, Paris ⓘ |
| inception | 1977 ⓘ |
| knownFor |
collaborations with contemporary composers
ⓘ
development of music software ⓘ integration of scientific research and musical creation ⓘ pioneering computer music research ⓘ real-time audio processing ⓘ sound spatialization research ⓘ |
| languageOfWorkOrName | French ⓘ |
| locatedIn |
Centre Pompidou
ⓘ
surface form:
Centre Pompidou complex
Paris ⓘ |
| notableWork |
AudioSculpt
ⓘ
IRCAM self-linksurface differs ⓘ
surface form:
Forum IRCAM software platform
Max/MSP ⓘ Modalys ⓘ OpenMusic ⓘ Spatialisateur (Spat) ⓘ |
| organizes |
concerts of contemporary music
ⓘ
research seminars ⓘ workshops on music technology ⓘ |
| partOf | Centre Pompidou ⓘ |
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: IRCAM Description of subject: IRCAM is a leading Paris-based institute for research and creation in avant-garde music and sound technologies, renowned for its pioneering work in electronic and computer music.
Referenced by (12)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Forum IRCAM software platform
this entity surface form:
GRM (Groupe de Recherches Musicales)
this entity surface form:
Centre d’Études de Mathématique et Automatique Musicales