Triple
T33266718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diva (Remix) |
E851667
|
entity |
| Predicate | isPartOfArtistRemixTradition |
P198857
|
FINISHED |
| Object | Beyoncé remixes |
—
|
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: Beyoncé remixes | Statement: [Diva (Remix), isPartOfArtistRemixTradition, Beyoncé remixes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfArtistRemixTradition Context triple: [Diva (Remix), isPartOfArtistRemixTradition, Beyoncé remixes]
-
A.
isRemix
Indicates that one creative work is a reinterpreted, altered, or recombined version of another original work.
-
B.
hasRemixProducer
Indicates that one entity serves as the producer responsible for creating a remix version of another entity (typically a musical work).
-
C.
hasRemixArtistDescriptor
Indicates that an entity has an associated descriptor specifying the artist responsible for a remix version of it.
-
D.
hasRemix
Indicates that one creative work is a remix version derived from or based on another work.
-
E.
remixArtist
Indicates that one entity is the artist who created a remix version of a work originally produced by another entity.
- F. None of above. chosen
Provenance (4 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_69f349642dac81908a37ffcc3b976a55 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ff0e9c75208190a4423261f00b79b3 |
completed | May 9, 2026, 10:38 a.m. |
| PD | Predicate disambiguation | batch_69ff0e07f08481909c4ae322632a6bf0 |
completed | May 9, 2026, 10:35 a.m. |
| PDg | Predicate description generation | batch_69ff0e9b7acc81909a0ee66201a06877 |
completed | May 9, 2026, 10:38 a.m. |
Created at: May 1, 2026, 1:32 a.m.