Michael E. Fossum
E811015
Michael E. Fossum is a NASA astronaut and former U.S. Air Force officer who flew on multiple Space Shuttle missions and later served as commander of the International Space Station.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Michael E. Fossum canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T8948608 — 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: Michael E. Fossum Context triple: [STS-121, missionSpecialist, Michael E. Fossum]
-
A.
Daniel L. Fapp
Daniel L. Fapp was an American cinematographer known for his work on numerous Hollywood films, including the Oscar-winning West Side Story.
-
B.
James S. Voss
James S. Voss is a retired U.S. Army officer and NASA astronaut who flew on multiple Space Shuttle missions and spent over five months aboard the International Space Station.
-
C.
Jay R. Ferguson
Jay R. Ferguson is an American actor best known for his television roles in series such as "Evening Shade," "Mad Men," and "The Conners."
-
D.
Douglas J. Foskett
Douglas J. Foskett was a British librarian and information scientist known for his influential work in library classification and information retrieval.
-
E.
Michael G. Moye
Michael G. Moye is an American television writer and producer best known for co-creating the groundbreaking Fox sitcom "Married... with Children."
- 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: Michael E. Fossum Target entity description: Michael E. Fossum is a NASA astronaut and former U.S. Air Force officer who flew on multiple Space Shuttle missions and later served as commander of the International Space Station.
-
A.
Daniel L. Fapp
Daniel L. Fapp was an American cinematographer known for his work on numerous Hollywood films, including the Oscar-winning West Side Story.
-
B.
James S. Voss
James S. Voss is a retired U.S. Army officer and NASA astronaut who flew on multiple Space Shuttle missions and spent over five months aboard the International Space Station.
-
C.
Jay R. Ferguson
Jay R. Ferguson is an American actor best known for his television roles in series such as "Evening Shade," "Mad Men," and "The Conners."
-
D.
Douglas J. Foskett
Douglas J. Foskett was a British librarian and information scientist known for his influential work in library classification and information retrieval.
-
E.
Michael G. Moye
Michael G. Moye is an American television writer and producer best known for co-creating the groundbreaking Fox sitcom "Married... with Children."
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
NASA astronaut
ⓘ
United States Air Force officer ⓘ aerospace engineer ⓘ human ⓘ mechanical engineer ⓘ |
| academicDegree |
Bachelor of Science in Mechanical Engineering
ⓘ
Master of Science in Physical Science ⓘ Master of Science in Systems Engineering ⓘ |
| awardReceived |
Defense Meritorious Service Medal
NERFINISHED
ⓘ
Defense Superior Service Medal NERFINISHED ⓘ Legion of Merit ⓘ Meritorious Service Medal NERFINISHED ⓘ NASA Space Flight Medal NERFINISHED ⓘ |
| countryOfCitizenship | United States of America ⓘ |
| dateOfBirth | 1957-12-19 ⓘ |
| educatedAt |
Air Force Institute of Technology
NERFINISHED
ⓘ
Texas A&M University NERFINISHED ⓘ University of Houston–Clear Lake NERFINISHED ⓘ |
| employer | National Aeronautics and Space Administration NERFINISHED ⓘ |
| familyName | Fossum NERFINISHED ⓘ |
| givenName | Michael ⓘ |
| laterWork |
Chief Operating Officer of Texas A&M University at Galveston
ⓘ
Vice President of Texas A&M University ⓘ |
| memberOf | NASA Astronaut Group 16 NERFINISHED ⓘ |
| militaryBranch | United States Air Force ⓘ |
| militaryRank | colonel ⓘ |
| notableWork |
Assembly and maintenance of the International Space Station
NERFINISHED
ⓘ
Space Shuttle Return to Flight mission STS-121 NERFINISHED ⓘ |
| numberOfSpacewalks | 7 ⓘ |
| occupation |
astronaut
ⓘ
test engineer ⓘ |
| placeOfBirth | Sioux Falls, South Dakota, United States NERFINISHED ⓘ |
| positionHeld |
Commander of the International Space Station
ⓘ
Flight engineer on Expedition 28 ⓘ Mission specialist on STS-121 ⓘ Mission specialist on STS-124 ⓘ |
| residence | Texas, United States NERFINISHED ⓘ |
| selectedAsAstronautBy | NASA NERFINISHED ⓘ |
| selectionYear | 1998 ⓘ |
| sexOrGender | male ⓘ |
| spaceMission |
Expedition 28
NERFINISHED
ⓘ
Expedition 29 NERFINISHED ⓘ STS-121 NERFINISHED ⓘ STS-124 NERFINISHED ⓘ Soyuz TMA-02M NERFINISHED ⓘ |
| totalEVAExperience | 48 hours 32 minutes ⓘ |
| totalTimeInSpace | 194 days ⓘ |
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: Michael E. Fossum Description of subject: Michael E. Fossum is a NASA astronaut and former U.S. Air Force officer who flew on multiple Space Shuttle missions and later served as commander of the International Space Station.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.