Triple
T30013107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "Alejandro" (Dave Audé Remix) |
E762518
|
entity |
| Predicate | remixProducerOccupation |
P75042
|
FINISHED |
| Object | DJ |
—
|
LITERAL 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: DJ | Statement: ["Alejandro" (Dave Audé Remix), remixProducerOccupation, DJ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: remixProducerOccupation Context triple: ["Alejandro" (Dave Audé Remix), remixProducerOccupation, DJ]
-
A.
remixProducer
Indicates that one entity is the producer responsible for creating a remix version of another entity (typically a musical work).
-
B.
producedOccupation
Indicates that one entity has generated, created, or given rise to another entity’s occupation or professional role.
-
C.
occupationType
chosen
Indicates the specific kind or category of work, profession, or role that an entity performs or holds.
-
D.
visionaryOccupation
Indicates that an entity holds an occupation or role characterized by forward-thinking, innovative, or visionary activities or responsibilities.
-
E.
hasRemixProducer
Indicates that one entity serves as the producer responsible for creating a remix version of another entity (typically a musical work).
- F. None of above.
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_69f2246b0c84819094f1250b6a02d277 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6798294288190ae5a5e0a83a20044 |
completed | May 2, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69f675ff62c48190a634bbb8896973b9 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 29, 2026, 6:44 p.m.