Triple
T21988299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harold Budd |
E543018
|
entity |
| Predicate | collaboratedWith |
P435
|
FINISHED |
| Object |
Daniel Lentz
Daniel Lentz is an American composer known for his experimental and minimalist works that often incorporate live electronics, vocal ensembles, and multimedia elements.
|
E1512954
|
NE FINISHED |
How this triple was built (3 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.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniel Lentz Context triple: [Harold Budd, collaboratedWith, Daniel Lentz]
-
A.
Daniel Heins
Daniel Heins is the anglicized name of Daniel Heinsius, a prominent Dutch classical scholar and poet of the early 17th century.
-
B.
John Luessenhop
John Luessenhop is an American film director and screenwriter best known for helming genre and action films, including the horror sequel "Texas Chainsaw 3D."
-
C.
Daniel Roher
Daniel Roher is a Canadian documentary filmmaker best known for directing the Oscar-winning political documentary "Navalny."
-
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.
Christopher Lennertz
Christopher Lennertz is an American composer best known for his film, television, and video game scores, including work on major comedies, action films, and popular series like Supernatural.
- 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 Lentz Triple: [Harold Budd, collaboratedWith, Daniel Lentz]
Generated description
Daniel Lentz is an American composer known for his experimental and minimalist works that often incorporate live electronics, vocal ensembles, and multimedia elements.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Daniel Lentz Target entity description: Daniel Lentz is an American composer known for his experimental and minimalist works that often incorporate live electronics, vocal ensembles, and multimedia elements.
-
A.
Daniel Heins
Daniel Heins is the anglicized name of Daniel Heinsius, a prominent Dutch classical scholar and poet of the early 17th century.
-
B.
John Luessenhop
John Luessenhop is an American film director and screenwriter best known for helming genre and action films, including the horror sequel "Texas Chainsaw 3D."
-
C.
Daniel Roher
Daniel Roher is a Canadian documentary filmmaker best known for directing the Oscar-winning political documentary "Navalny."
-
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.
Christopher Lennertz
Christopher Lennertz is an American composer best known for his film, television, and video game scores, including work on major comedies, action films, and popular series like Supernatural.
- F. None of above. chosen
Provenance (4 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_69e0c48136b081908831fa907cc02e18 |
completed | April 16, 2026, 11:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a6d7fa4e8819099c77eba507dedb0 |
completed | May 18, 2026, 1:38 a.m. |
| NEDg | Description generation | batch_6a0a6efbe8e48190bc3cae3d531f5229 |
completed | May 18, 2026, 1:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a6fd5f38c8190a420d6700b5f7383 |
completed | May 18, 2026, 1:48 a.m. |
Created at: April 16, 2026, 8:05 p.m.