Mark Sammons
E857268
Mark Sammons is a researcher and academic author known for co-authoring scholarly work in computer science and related fields.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Mark Sammons canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T10344875 — 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: Mark Sammons Context triple: [Nathaniel Chambers, coAuthorWith, Mark Sammons]
-
A.
Lamar Trotti
Lamar Trotti was an American screenwriter and producer best known for his work on classic Hollywood films of the 1930s and 1940s, including several major 20th Century Fox productions.
-
B.
Ian Shelton
Ian Shelton is a Canadian astronomer best known for first identifying the supernova SN 1987A in the Large Magellanic Cloud.
-
C.
Dale Hunter
Dale Hunter is a former Canadian NHL center known for his gritty, physical play and leadership, most notably with the Washington Capitals.
-
D.
Rob Mullens
Rob Mullens is a college athletics administrator best known for serving as the athletic director at the University of Oregon.
-
E.
Jack McDonald
Jack McDonald was an early 20th-century Canadian ice hockey player best known for his role as a forward in the National Hockey Association, including with the Quebec Bulldogs.
- 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: Mark Sammons Target entity description: Mark Sammons is a researcher and academic author known for co-authoring scholarly work in computer science and related fields.
-
A.
Lamar Trotti
Lamar Trotti was an American screenwriter and producer best known for his work on classic Hollywood films of the 1930s and 1940s, including several major 20th Century Fox productions.
-
B.
Ian Shelton
Ian Shelton is a Canadian astronomer best known for first identifying the supernova SN 1987A in the Large Magellanic Cloud.
-
C.
Dale Hunter
Dale Hunter is a former Canadian NHL center known for his gritty, physical play and leadership, most notably with the Washington Capitals.
-
D.
Rob Mullens
Rob Mullens is a college athletics administrator best known for serving as the athletic director at the University of Oregon.
-
E.
Jack McDonald
Jack McDonald was an early 20th-century Canadian ice hockey player best known for his role as a forward in the National Hockey Association, including with the Quebec Bulldogs.
- F. None of above. chosen
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf |
academic author
ⓘ
computer scientist ⓘ researcher ⓘ |
| affiliation |
United States (country of research activity)
ⓘ
linked to:
United States of America
|
| fieldOfWork |
artificial intelligence
ⓘ
computer science ⓘ machine learning ⓘ natural language processing ⓘ |
| hasCoAuthor |
Chen-Tse Tsai
ⓘ
Dan Roth ⓘ Guang Zhou ⓘ Karl G. G"oebel ⓘ Kevin Gimpel ⓘ Lev Ratinov NERFINISHED ⓘ Michael Collins ⓘ Nick Rizzolo ⓘ Partha Talukdar ⓘ Rion Snow ⓘ Sameer Singh ⓘ Shashank Srivastava ⓘ Shyam Upadhyay ⓘ Stephen Soderland ⓘ Subhro Roy ⓘ Terry Koo ⓘ Vivek Srikumar ⓘ Wen-tau Yih ⓘ |
| hasPublicationType |
book chapter
ⓘ
conference paper ⓘ journal article ⓘ workshop paper ⓘ |
| hasRole |
academic researcher
ⓘ
co-author ⓘ research scientist ⓘ |
| knownFor |
research in information extraction
ⓘ
research in machine reading ⓘ research in natural language inference ⓘ research in semantic parsing ⓘ research in textual entailment ⓘ |
| language | English ⓘ |
| notableContribution |
learning-based approaches for semantic analysis
ⓘ
methods for recognizing textual entailment ⓘ models for natural language inference ⓘ |
| worksOn |
knowledge-rich natural language understanding
ⓘ
semi-supervised learning for NLP ⓘ structured prediction in NLP ⓘ supervised learning for NLP ⓘ |
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: Mark Sammons Description of subject: Mark Sammons is a researcher and academic author known for co-authoring scholarly work in computer science and related fields.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.