Fletcher Previn
E886809
Fletcher Previn is an American technology executive best known for serving as Chief Information Officer at IBM and later at Cisco.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Fletcher Previn canonical | 5 |
How this entity was disambiguated
This entity first appeared as the object of triple T10776757 — 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: Fletcher Previn Context triple: [Soon-Yi Previn, sibling, Fletcher Previn]
-
A.
André Previn
André Previn was a renowned German-American conductor, pianist, and composer celebrated for his work in both classical music and Hollywood film scores.
-
B.
Charles Previn
Charles Previn was an American film composer and music director best known for his work on numerous Hollywood films during the 1930s and 1940s.
-
C.
Lark Previn
Lark Previn was the adopted daughter of Mia Farrow who largely stayed out of the public eye compared to her more famous family members.
-
D.
Gerald Fried
Gerald Fried was an American composer best known for his film and television scores, including work on early Stanley Kubrick films and the original Star Trek series.
-
E.
Charles Munch
Charles Munch was a renowned 20th-century French conductor celebrated for his dynamic interpretations of French and German repertoire and his influential recordings with major orchestras.
- 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: Fletcher Previn Target entity description: Fletcher Previn is an American technology executive best known for serving as Chief Information Officer at IBM and later at Cisco.
-
A.
André Previn
André Previn was a renowned German-American conductor, pianist, and composer celebrated for his work in both classical music and Hollywood film scores.
-
B.
Charles Previn
Charles Previn was an American film composer and music director best known for his work on numerous Hollywood films during the 1930s and 1940s.
-
C.
Lark Previn
Lark Previn was the adopted daughter of Mia Farrow who largely stayed out of the public eye compared to her more famous family members.
-
D.
Gerald Fried
Gerald Fried was an American composer best known for his film and television scores, including work on early Stanley Kubrick films and the original Star Trek series.
-
E.
Charles Munch
Charles Munch was a renowned 20th-century French conductor celebrated for his dynamic interpretations of French and German repertoire and his influential recordings with major orchestras.
- F. None of above. chosen
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf |
chief information officer
ⓘ
human ⓘ technology executive ⓘ |
| areaOfExpertise |
IT infrastructure
ⓘ
cloud computing ⓘ enterprise software ⓘ workplace productivity tools ⓘ |
| countryOfCitizenship | United States of America ⓘ |
| employer |
Cisco Systems
ⓘ
IBM ⓘ |
| familyName | Previn ⓘ |
| fieldOfWork |
digital transformation
ⓘ
enterprise IT ⓘ information technology management ⓘ |
| givenName | Fletcher ⓘ |
| industry | technology industry ⓘ |
| languageSpoken | English ⓘ |
| notableFor |
serving as Chief Information Officer at Cisco Systems
ⓘ
serving as Chief Information Officer at IBM ⓘ |
| notableRole |
CIO of Cisco Systems
ⓘ
linked to:
Chief Information Officer of Cisco Systems
CIO of IBM ⓘ
linked to:
Chief Information Officer of IBM
|
| occupation |
chief information officer
ⓘ
technology executive ⓘ |
| positionHeld |
Chief Information Officer of Cisco Systems
ⓘ
Chief Information Officer of IBM ⓘ |
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: Fletcher Previn Description of subject: Fletcher Previn is an American technology executive best known for serving as Chief Information Officer at IBM and later at Cisco.
Referenced by (5)
Full triples — surface form annotated when it differs from this entity's canonical label.