Triple
T15486885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Project Blue Book |
E377069
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object |
Daniel Wohl
Daniel Wohl is a contemporary composer known for blending acoustic instruments with electronic textures in film, television, and concert music.
|
E1159257
|
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 Wohl | Statement: [Project Blue Book, composer, Daniel Wohl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniel Wohl Context triple: [Project Blue Book, composer, Daniel Wohl]
-
A.
Brian Reitzell
Brian Reitzell is an American composer, producer, and former drummer best known for his atmospheric film and television scores and collaborations with directors like Sofia Coppola.
-
B.
Daniel Krauss
Daniel Krauss is a German entrepreneur best known as a co-founder of the long-distance bus company FlixBus.
-
C.
David Mandel
David Mandel is an American television writer, director, and producer best known for his work on comedy series such as Veep, Seinfeld, and Curb Your Enthusiasm.
-
D.
Calvin Wimmer
Calvin Wimmer is a film editor best known for his work on the science fiction horror movie "The Cloverfield Paradox."
-
E.
Joshua Losey
Joshua Losey is the son of acclaimed American film director Joseph Losey.
- 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 Wohl Triple: [Project Blue Book, composer, Daniel Wohl]
Generated description
Daniel Wohl is a contemporary composer known for blending acoustic instruments with electronic textures in film, television, and concert music.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Daniel Wohl Target entity description: Daniel Wohl is a contemporary composer known for blending acoustic instruments with electronic textures in film, television, and concert music.
-
A.
Brian Reitzell
Brian Reitzell is an American composer, producer, and former drummer best known for his atmospheric film and television scores and collaborations with directors like Sofia Coppola.
-
B.
Daniel Krauss
Daniel Krauss is a German entrepreneur best known as a co-founder of the long-distance bus company FlixBus.
-
C.
David Mandel
David Mandel is an American television writer, director, and producer best known for his work on comedy series such as Veep, Seinfeld, and Curb Your Enthusiasm.
-
D.
Calvin Wimmer
Calvin Wimmer is a film editor best known for his work on the science fiction horror movie "The Cloverfield Paradox."
-
E.
Joshua Losey
Joshua Losey is the son of acclaimed American film director Joseph Losey.
- 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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f8f71a08190a440ff19dcc65312 |
completed | April 16, 2026, 1:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2d1170088190a911f8ea8d2a2066 |
completed | May 9, 2026, 12:48 p.m. |
| NEDg | Description generation | batch_69ff2e1fb27c81908de0d755bf30c833 |
completed | May 9, 2026, 12:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff2f3ab6988190b4cefe2f55c4101c |
completed | May 9, 2026, 12:57 p.m. |
Created at: April 10, 2026, 3:47 a.m.