Triple
T22489992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perfecto |
E555987
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Paul Oakenfold |
—
|
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: Paul Oakenfold | Statement: [Perfecto, associatedAct, Paul Oakenfold]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Oakenfold Context triple: [Perfecto, associatedAct, Paul Oakenfold]
-
A.
Paul Oakenfold
chosen
Paul Oakenfold is a pioneering British DJ and record producer known for popularizing trance music worldwide and remixing major artists across electronic and pop genres.
-
B.
Dave Rock
Dave Rock is a musician best known as an early drummer and former member of the indie rock band Rilo Kiley.
-
C.
John Digweed
John Digweed is a British DJ and producer renowned as a pioneer of progressive house and for his influential Global Underground mixes and Bedrock Records label.
-
D.
Paul van Dyk
Paul van Dyk is a German DJ and producer widely regarded as one of the pioneers and leading figures of the trance music genre.
-
E.
Kevin Saunderson
Kevin Saunderson is an American DJ and producer widely recognized as one of the founding figures of Detroit techno and a key member of the Belleville Three.
- 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_69e11e53897c819088863779f8c50bb0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15c40930c81908310ac6afd98c62e |
completed | April 29, 2026, 1:17 a.m. |
Created at: April 16, 2026, 8:49 p.m.