Triple
T17035812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donut County |
E413317
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object |
Daniel Koestner
Daniel Koestner is a composer best known for his work on the indie video game Donut County.
|
E1327109
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Daniel Koestner | Statement: [Donut County, composer, Daniel Koestner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniel Koestner Context triple: [Donut County, composer, Daniel Koestner]
-
A.
Paul Koestner
Paul Koestner is an American cinematographer known for his work on film and television projects, including the feature film "I Love You, Daddy."
-
B.
Daniel Knauf
Daniel Knauf is an American television writer and producer best known for creating the HBO series "Carnivàle."
-
C.
Martin Kosleck
Martin Kosleck was a German-American character actor best known for playing suave villains and Nazi antagonists in Hollywood films of the 1930s and 1940s.
-
D.
Daniel Kurth
Daniel Kurth is a German local politician who serves as the mayor of the municipality of Panketal in the state of Brandenburg.
-
E.
David Kaemmer
David Kaemmer is a video game designer and programmer best known as the co-founder of Papyrus Design Group and iRacing, where he created influential racing simulation games.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Daniel Koestner Triple: [Donut County, composer, Daniel Koestner]
Generated description
Daniel Koestner is a composer best known for his work on the indie video game Donut County.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Daniel Koestner Target entity description: Daniel Koestner is a composer best known for his work on the indie video game Donut County.
-
A.
Paul Koestner
Paul Koestner is an American cinematographer known for his work on film and television projects, including the feature film "I Love You, Daddy."
-
B.
Daniel Knauf
Daniel Knauf is an American television writer and producer best known for creating the HBO series "Carnivàle."
-
C.
Martin Kosleck
Martin Kosleck was a German-American character actor best known for playing suave villains and Nazi antagonists in Hollywood films of the 1930s and 1940s.
-
D.
Daniel Kurth
Daniel Kurth is a German local politician who serves as the mayor of the municipality of Panketal in the state of Brandenburg.
-
E.
David Kaemmer
David Kaemmer is a video game designer and programmer best known as the co-founder of Papyrus Design Group and iRacing, where he created influential racing simulation games.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d8f26f50819085dfd0fbecd6394d |
completed | April 18, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a047123a0408190b03850b3a8942e87 |
completed | May 13, 2026, 12:40 p.m. |
| NEDg | Description generation | batch_6a047216091081908e259a5f9d4c8d49 |
completed | May 13, 2026, 12:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0472a5bec08190849a64fc2fce18e8 |
completed | May 13, 2026, 12:46 p.m. |
Created at: April 10, 2026, 5:33 a.m.