Stephen Appiah
E295767
Stephen Appiah is a retired Ghanaian midfielder best known for captaining the Ghana national football team during their first-ever FIFA World Cup appearance in 2006.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Stephen Appiah canonical | 3 |
| Appiah | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2755822 — 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.
Target entity: Stephen Appiah Context triple: [Ghana national football team, famousPlayer, Stephen Appiah]
-
A.
DeObia Oparei
DeObia Oparei is a British actor and playwright known for his roles in film and television, including appearances in projects like Game of Thrones and various major studio movies.
-
B.
Kenneth Dadzie
Kenneth Dadzie was a distinguished Ghanaian diplomat and international civil servant who served as Secretary-General of UNCTAD and played a key role in global trade and development policy.
-
C.
Kwesi Adofo-Mensah
Kwesi Adofo-Mensah is an NFL executive known for his analytics-driven approach to roster building as the general manager of the Minnesota Vikings.
-
D.
Chidi Ajufo
Chidi Ajufo is a British-Nigerian actor and former professional basketball player known for his roles in action and crime films and television series.
-
E.
Emmanuel Nii Adom Quaye
Emmanuel Nii Adom Quaye is a Ghanaian actor best known for his role as a child soldier in the film "Beasts of No Nation."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Stephen Appiah Target entity description: Stephen Appiah is a retired Ghanaian midfielder best known for captaining the Ghana national football team during their first-ever FIFA World Cup appearance in 2006.
-
A.
DeObia Oparei
DeObia Oparei is a British actor and playwright known for his roles in film and television, including appearances in projects like Game of Thrones and various major studio movies.
-
B.
Kenneth Dadzie
Kenneth Dadzie was a distinguished Ghanaian diplomat and international civil servant who served as Secretary-General of UNCTAD and played a key role in global trade and development policy.
-
C.
Kwesi Adofo-Mensah
Kwesi Adofo-Mensah is an NFL executive known for his analytics-driven approach to roster building as the general manager of the Minnesota Vikings.
-
D.
Chidi Ajufo
Chidi Ajufo is a British-Nigerian actor and former professional basketball player known for his roles in action and crime films and television series.
-
E.
Emmanuel Nii Adom Quaye
Emmanuel Nii Adom Quaye is a Ghanaian actor best known for his role as a child soldier in the film "Beasts of No Nation."
- F. None of above. chosen
Statements (49)
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.
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.
Subject: Stephen Appiah Description of subject: Stephen Appiah is a retired Ghanaian midfielder best known for captaining the Ghana national football team during their first-ever FIFA World Cup appearance in 2006.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.