Triple
T16679487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cause and Effect |
E405301
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | David Kosten |
E1074261
|
NE FINISHED |
How this triple was built (2 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: David Kosten | Statement: [Cause and Effect, producer, David Kosten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Kosten Context triple: [Cause and Effect, producer, David Kosten]
-
A.
David Kosten
chosen
David Kosten is a British record producer and mixer known for his work with artists across indie, alternative, and pop music, including collaborations with acts like Bat for Lashes and Everything Everything.
-
B.
Paul Darrow
Paul Darrow was the son of famed American lawyer Clarence Darrow and a businessman who managed many of his father's financial affairs.
-
C.
David Jaffe
David Jaffe is an American video game designer and director best known for creating the God of War and Twisted Metal franchises.
-
D.
John Karlen
John Karlen was an American character actor best known for his roles in the gothic soap opera "Dark Shadows" and the crime drama series "Cagney & Lacey."
-
E.
Rob Lord
Rob Lord is a British film and television composer known for his eclectic, melodic scores across independent features and mainstream productions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37d6e74ec81909ea95c3e4b0113ab |
completed | April 18, 2026, 12:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a3e2ddc8190a59108cdf001dac2 |
completed | May 10, 2026, 1:38 p.m. |
Created at: April 10, 2026, 5:19 a.m.