Emmanuel Lubezki
E10484
Emmanuel Lubezki is a renowned Mexican cinematographer celebrated for his innovative use of natural light and long takes in films such as Gravity, Birdman, and The Revenant, for which he won consecutive Academy Awards.
All labels observed (5)
| Label | Occurrences |
|---|---|
| Emmanuel Lubezki canonical | 29 |
| Emmanuel Lubezki Morgenstern | 1 |
| Lauren Lubezki | 1 |
| Lubezki | 1 |
| three-time Academy Award winner Emmanuel Lubezki | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T110082 — 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: Emmanuel Lubezki Context triple: [Sleepy Hollow (1999 film), cinematographer, Emmanuel Lubezki]
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A.
Hoyte van Hoytema
Hoyte van Hoytema is a renowned Dutch-Swedish cinematographer known for his visually striking work on major films such as Interstellar, Dunkirk, Tenet, and Oppenheimer.
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B.
Guillermo del Toro
Guillermo del Toro is an acclaimed Mexican filmmaker known for his visually rich, genre-blending fantasy and horror films such as Pan's Labyrinth and The Shape of Water.
-
C.
Joachim Sauer
Joachim Sauer is a German quantum chemist and professor known both for his research in theoretical chemistry and for being married to former Chancellor Angela Merkel.
-
D.
Christopher Nolan
Christopher Nolan is a British-American filmmaker renowned for his intellectually ambitious, visually striking blockbusters such as Inception, The Dark Knight trilogy, and Interstellar.
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E.
Jennifer Lame
Jennifer Lame is an American film editor known for her frequent collaborations with prominent directors such as Christopher Nolan, including her work on the 2023 biographical thriller "Oppenheimer."
- 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: Emmanuel Lubezki Target entity description: Emmanuel Lubezki is a renowned Mexican cinematographer celebrated for his innovative use of natural light and long takes in films such as Gravity, Birdman, and The Revenant, for which he won consecutive Academy Awards.
-
A.
Hoyte van Hoytema
Hoyte van Hoytema is a renowned Dutch-Swedish cinematographer known for his visually striking work on major films such as Interstellar, Dunkirk, Tenet, and Oppenheimer.
-
B.
Guillermo del Toro
Guillermo del Toro is an acclaimed Mexican filmmaker known for his visually rich, genre-blending fantasy and horror films such as Pan's Labyrinth and The Shape of Water.
-
C.
Joachim Sauer
Joachim Sauer is a German quantum chemist and professor known both for his research in theoretical chemistry and for being married to former Chancellor Angela Merkel.
-
D.
Christopher Nolan
Christopher Nolan is a British-American filmmaker renowned for his intellectually ambitious, visually striking blockbusters such as Inception, The Dark Knight trilogy, and Interstellar.
-
E.
Jennifer Lame
Jennifer Lame is an American film editor known for her frequent collaborations with prominent directors such as Christopher Nolan, including her work on the 2023 biographical thriller "Oppenheimer."
- F. None of above. chosen
Statements (70)
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: Emmanuel Lubezki Description of subject: Emmanuel Lubezki is a renowned Mexican cinematographer celebrated for his innovative use of natural light and long takes in films such as Gravity, Birdman, and The Revenant, for which he won consecutive Academy Awards.
Referenced by (33)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Emmanuel Lubezki Morgenstern
this entity surface form:
Lubezki
subject surface form:
Emmanuel Lubezki
this entity surface form:
Lauren Lubezki
subject surface form:
A Little Princess (1995 film)
this entity surface form:
three-time Academy Award winner Emmanuel Lubezki