Michael L. Sale
E272646
Michael L. Sale is a film editor known for his work on major Hollywood comedies, including the hit movie "Bridesmaids."
All labels observed (2)
| Label | Occurrences |
|---|---|
| Michael L. Sale canonical | 5 |
| Michael Sale | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2487041 — 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 L. Sale Context triple: [Bridesmaids, editedBy, Michael L. Sale]
-
A.
Stephen F. Martin
Stephen F. Martin is an American organic chemist renowned for his influential research in synthetic methodology and complex molecule synthesis.
-
B.
Martin J. Hillenbrand
Martin J. Hillenbrand was an American career diplomat who held several key Cold War-era posts, including serving as U.S. Ambassador to Hungary and later to the Federal Republic of Germany.
-
C.
Michael V. Drake
Michael V. Drake is an American academic leader and physician who has served as president of both The Ohio State University and the University of California system.
-
D.
Michael A. Elliott
Michael A. Elliott is an American literary scholar and academic administrator who serves as the president of Amherst College.
-
E.
Steven A. Sund
Steven A. Sund is a former Chief of the United States Capitol Police best known for leading the force during the January 6, 2021 attack on the U.S. Capitol and subsequently resigning amid scrutiny of the security response.
- 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 L. Sale Target entity description: Michael L. Sale is a film editor known for his work on major Hollywood comedies, including the hit movie "Bridesmaids."
-
A.
Stephen F. Martin
Stephen F. Martin is an American organic chemist renowned for his influential research in synthetic methodology and complex molecule synthesis.
-
B.
Martin J. Hillenbrand
Martin J. Hillenbrand was an American career diplomat who held several key Cold War-era posts, including serving as U.S. Ambassador to Hungary and later to the Federal Republic of Germany.
-
C.
Michael V. Drake
Michael V. Drake is an American academic leader and physician who has served as president of both The Ohio State University and the University of California system.
-
D.
Michael A. Elliott
Michael A. Elliott is an American literary scholar and academic administrator who serves as the president of Amherst College.
-
E.
Steven A. Sund
Steven A. Sund is a former Chief of the United States Capitol Police best known for leading the force during the January 6, 2021 attack on the U.S. Capitol and subsequently resigning amid scrutiny of the security response.
- F. None of above. chosen
Statements (10)
| Predicate | Object |
|---|---|
| instanceOf | film editor ⓘ |
| countryOfWork |
United States of America
ⓘ
surface form:
United States
|
| edited | Bridesmaids ⓘ |
| fieldOfWork | film editing ⓘ |
| genreSpecialization | comedy films ⓘ |
| industry | film industry ⓘ |
| knownFor | editing major Hollywood comedies ⓘ |
| notableWork | Bridesmaids ⓘ |
| occupation | film editor ⓘ |
| workLocation | Hollywood ⓘ |
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 L. Sale Description of subject: Michael L. Sale is a film editor known for his work on major Hollywood comedies, including the hit movie "Bridesmaids."
Referenced by (6)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Michael Sale
subject surface form:
We're the Millers