Triple
T18140189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rest |
E434239
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Owen Pallett |
—
|
NE NERFINISHED |
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: Owen Pallett | Statement: [Rest, producer, Owen Pallett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Owen Pallett Context triple: [Rest, producer, Owen Pallett]
-
A.
Owen Pallett
chosen
Owen Pallett is a Canadian composer, violinist, and singer-songwriter known for his intricate orchestral pop arrangements and collaborations with numerous indie rock artists.
-
B.
Max Richter
Max Richter is a German-British composer known for his influential contemporary classical and minimalist film scores and solo works.
-
C.
Jocelyn Pook
Jocelyn Pook is a British composer and violist known for her distinctive, atmospheric film scores and genre-blending contemporary classical music.
-
D.
Daniel Lopatin
Daniel Lopatin is an American electronic musician and producer, best known for his work as Oneohtrix Point Never and his experimental film scores.
-
E.
Nico Muhly
Nico Muhly is an American contemporary classical composer known for his genre-blending works, prolific collaborations, and contributions to opera, film, and choral music.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de0a59d08190be74c1ecc00a8f3a |
completed | April 19, 2026, 1:52 p.m. |
Created at: April 10, 2026, 10:29 a.m.