Daniel Krieger
E717194
Daniel Krieger is a music producer best known for his work on Hozier’s album "Unreal Unearth."
All labels observed (1)
| Label | Occurrences |
|---|---|
| Daniel Krieger canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8153368 — 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: Daniel Krieger Context triple: [Unreal Unearth, producer, Daniel Krieger]
-
A.
Nicholas Grodin
Nicholas Grodin is the son of the late American actor and comedian Charles Grodin.
-
B.
Josh Levi
Josh Levi is an American singer and actor known for his music career and for voicing a character in Pixar's animated film "Turning Red."
-
C.
Ben Margulies
Ben Margulies is an American songwriter and producer best known for co-writing several early hits with Mariah Carey, including her debut single "Vision of Love."
-
D.
Michael Stahl-David
Michael Stahl-David is an American actor best known for his leading role in the found-footage monster film "Cloverfield."
-
E.
Joseph Markovitch
Joseph Markovitch was the father of French photographer and painter Dora Maar, a key figure in the Surrealist movement and companion of Pablo Picasso.
- 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: Daniel Krieger Target entity description: Daniel Krieger is a music producer best known for his work on Hozier’s album "Unreal Unearth."
-
A.
Nicholas Grodin
Nicholas Grodin is the son of the late American actor and comedian Charles Grodin.
-
B.
Josh Levi
Josh Levi is an American singer and actor known for his music career and for voicing a character in Pixar's animated film "Turning Red."
-
C.
Ben Margulies
Ben Margulies is an American songwriter and producer best known for co-writing several early hits with Mariah Carey, including her debut single "Vision of Love."
-
D.
Michael Stahl-David
Michael Stahl-David is an American actor best known for his leading role in the found-footage monster film "Cloverfield."
-
E.
Joseph Markovitch
Joseph Markovitch was the father of French photographer and painter Dora Maar, a key figure in the Surrealist movement and companion of Pablo Picasso.
- F. None of above. chosen
Statements (10)
| Predicate | Object |
|---|---|
| instanceOf |
human
ⓘ
music album ⓘ |
| fieldOfWork | music production ⓘ |
| genre | popular music ⓘ |
| knownFor | producing Hozier’s album "Unreal Unearth" ⓘ |
| notableWork | Unreal Unearth NERFINISHED ⓘ |
| occupation |
music producer
ⓘ
record producer ⓘ |
| performer | Hozier NERFINISHED ⓘ |
| workLocation | recording studio ⓘ |
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: Daniel Krieger Description of subject: Daniel Krieger is a music producer best known for his work on Hozier’s album "Unreal Unearth."
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.