Lesli Linka Glatter
E267988
Lesli Linka Glatter is an American television director and producer known for her work on acclaimed series such as Homeland, Mad Men, and The West Wing.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Lesli Linka Glatter canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T2458849 — 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: Lesli Linka Glatter Context triple: [Homeland, executiveProducer, Lesli Linka Glatter]
-
A.
Stacey Sher
Stacey Sher is an American film and television producer known for her work on acclaimed movies such as "Django Unchained," "Pulp Fiction," and "Erin Brockovich."
-
B.
Wendy Schaal
Wendy Schaal is an American actress and voice actress best known for voicing Francine Smith on the animated television series "American Dad!" and for her roles in various film and TV projects since the 1980s.
-
C.
Jill Hornor
Jill Hornor is an art consultant and the longtime wife of renowned cellist Yo-Yo Ma.
-
D.
Melissa Rosenberg
Melissa Rosenberg is an American screenwriter and producer best known for adapting the Twilight Saga films and creating the Marvel television series Jessica Jones.
-
E.
Melissa Mathison
Melissa Mathison was an American screenwriter best known for writing the screenplay for Steven Spielberg’s film "E.T. the Extra-Terrestrial."
- 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: Lesli Linka Glatter Target entity description: Lesli Linka Glatter is an American television director and producer known for her work on acclaimed series such as Homeland, Mad Men, and The West Wing.
-
A.
Stacey Sher
Stacey Sher is an American film and television producer known for her work on acclaimed movies such as "Django Unchained," "Pulp Fiction," and "Erin Brockovich."
-
B.
Wendy Schaal
Wendy Schaal is an American actress and voice actress best known for voicing Francine Smith on the animated television series "American Dad!" and for her roles in various film and TV projects since the 1980s.
-
C.
Jill Hornor
Jill Hornor is an art consultant and the longtime wife of renowned cellist Yo-Yo Ma.
-
D.
Melissa Rosenberg
Melissa Rosenberg is an American screenwriter and producer best known for adapting the Twilight Saga films and creating the Marvel television series Jessica Jones.
-
E.
Melissa Mathison
Melissa Mathison was an American screenwriter best known for writing the screenplay for Steven Spielberg’s film "E.T. the Extra-Terrestrial."
- F. None of above. chosen
Statements (46)
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: Lesli Linka Glatter Description of subject: Lesli Linka Glatter is an American television director and producer known for her work on acclaimed series such as Homeland, Mad Men, and The West Wing.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.