Peter Vermes
E69347
Peter Vermes is an American soccer coach and former defender best known for his long tenure leading Sporting Kansas City in Major League Soccer.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Peter Vermes canonical | 14 |
How this entity was disambiguated
This entity first appeared as the object of triple T553306 — 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: Peter Vermes Context triple: [Sporting Kansas City, headCoach, Peter Vermes]
-
A.
Sigi Schmid
Sigi Schmid was a highly successful German-American soccer coach best known for leading MLS clubs like the LA Galaxy, Columbus Crew, and Seattle Sounders to multiple league titles and trophies.
-
B.
Dick Bosman
Dick Bosman is a former Major League Baseball right-handed pitcher best known for his successful tenure in the 1960s and early 1970s, including winning an American League ERA title.
-
C.
Mario Frick
Mario Frick is a Liechtensteiner politician who served as Prime Minister of Liechtenstein from 1993 to 2001.
-
D.
Marc Seriff
Marc Seriff is an American computer scientist and entrepreneur best known as a co-founder and early technical leader of the pioneering internet company AOL.
-
E.
Mike Gartner
Mike Gartner is a Canadian Hall of Fame right winger renowned as one of the NHL’s most prolific goal scorers, surpassing 700 career goals over a 19-season career.
- 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: Peter Vermes Target entity description: Peter Vermes is an American soccer coach and former defender best known for his long tenure leading Sporting Kansas City in Major League Soccer.
-
A.
Sigi Schmid
Sigi Schmid was a highly successful German-American soccer coach best known for leading MLS clubs like the LA Galaxy, Columbus Crew, and Seattle Sounders to multiple league titles and trophies.
-
B.
Dick Bosman
Dick Bosman is a former Major League Baseball right-handed pitcher best known for his successful tenure in the 1960s and early 1970s, including winning an American League ERA title.
-
C.
Mario Frick
Mario Frick is a Liechtensteiner politician who served as Prime Minister of Liechtenstein from 1993 to 2001.
-
D.
Marc Seriff
Marc Seriff is an American computer scientist and entrepreneur best known as a co-founder and early technical leader of the pioneering internet company AOL.
-
E.
Mike Gartner
Mike Gartner is a Canadian Hall of Fame right winger renowned as one of the NHL’s most prolific goal scorers, surpassing 700 career goals over a 19-season career.
- F. None of above. chosen
Statements (48)
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: Peter Vermes Description of subject: Peter Vermes is an American soccer coach and former defender best known for his long tenure leading Sporting Kansas City in Major League Soccer.
Referenced by (14)
Full triples — surface form annotated when it differs from this entity's canonical label.