Matthew Dryer
E276137
Matthew Dryer is a linguist renowned for his work in language typology and word order correlations across the world’s languages.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Matthew Dryer canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2254232 — 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: Matthew Dryer Context triple: [Joseph Greenberg, influencedScholar, Matthew Dryer]
-
A.
Derek Dowding
Derek Dowding was a Royal Air Force officer and the son of Air Chief Marshal Hugh Dowding, noted for his own distinguished service in military aviation.
-
B.
Denholm Elliott
Denholm Elliott was a distinguished English character actor known for his versatile performances in film and television, including notable roles in movies such as "Raiders of the Lost Ark" and "A Room with a View."
-
C.
Matthew Talbot
Matthew Talbot was an early 19th-century American politician from Georgia who briefly served as the state's governor and was influential enough that Talbot County was named in his honor.
-
D.
Ian Mackley
Ian Mackley is the husband of British comedian and television personality Julian Clary.
-
E.
Peter Sissons
Peter Sissons was a prominent British journalist and television newsreader best known for presenting major news programmes on the BBC and ITN.
- 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: Matthew Dryer Target entity description: Matthew Dryer is a linguist renowned for his work in language typology and word order correlations across the world’s languages.
-
A.
Derek Dowding
Derek Dowding was a Royal Air Force officer and the son of Air Chief Marshal Hugh Dowding, noted for his own distinguished service in military aviation.
-
B.
Denholm Elliott
Denholm Elliott was a distinguished English character actor known for his versatile performances in film and television, including notable roles in movies such as "Raiders of the Lost Ark" and "A Room with a View."
-
C.
Matthew Talbot
Matthew Talbot was an early 19th-century American politician from Georgia who briefly served as the state's governor and was influential enough that Talbot County was named in his honor.
-
D.
Ian Mackley
Ian Mackley is the husband of British comedian and television personality Julian Clary.
-
E.
Peter Sissons
Peter Sissons was a prominent British journalist and television newsreader best known for presenting major news programmes on the BBC and ITN.
- F. None of above. chosen
Statements (30)
| Predicate | Object |
|---|---|
| instanceOf |
linguist
ⓘ
person ⓘ |
| countryOfCitizenship | Canada ⓘ |
| educatedAt |
University of Alberta
ⓘ
University of Massachusetts Amherst ⓘ |
| employer | University at Buffalo ⓘ |
| fieldOfWork |
language typology
ⓘ
linguistics ⓘ syntax ⓘ word order typology ⓘ |
| hasAcademicDiscipline |
descriptive linguistics
ⓘ
theoretical linguistics ⓘ |
| hasRole | professor of linguistics ⓘ |
| knownFor |
cross‑linguistic typological surveys
ⓘ
research on word order correlations ⓘ work on the World Atlas of Language Structures ⓘ |
| languageOfWorkOrName | English ⓘ |
| memberOf | Linguistic Society of America ⓘ |
| notableConcept | word order correlations across languages ⓘ |
| notableWork |
chapters in the World Atlas of Language Structures
ⓘ
papers on word order correlations ⓘ |
| occupation |
researcher
ⓘ
university teacher ⓘ |
| placeOfWork |
Buffalo
ⓘ
surface form:
Buffalo, New York
|
| positionHeld | editor of World Atlas of Language Structures ⓘ |
| researchInterest |
basic word order
ⓘ
grammatical relations ⓘ language documentation ⓘ language universals ⓘ |
| studies | world’s languages ⓘ |
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: Matthew Dryer Description of subject: Matthew Dryer is a linguist renowned for his work in language typology and word order correlations across the world’s languages.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.