Triple
T22257450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magnificent (Fred Falke Remix) |
E550128
|
entity |
| Predicate | hasRemixArtistNationality |
P147582
|
FINISHED |
| Object | French |
—
|
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: French | Statement: [Magnificent (Fred Falke Remix), hasRemixArtistNationality, French]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRemixArtistNationality Context triple: [Magnificent (Fred Falke Remix), hasRemixArtistNationality, French]
-
A.
hasRemixArtistDescriptor
Indicates that an entity has an associated descriptor specifying the artist responsible for a remix version of it.
-
B.
hasRemixProducer
Indicates that one entity serves as the producer responsible for creating a remix version of another entity (typically a musical work).
-
C.
primaryArtistNationality
Indicates the nationality associated with the main or primary artist involved in a work or context.
-
D.
hasRemixGenre
Indicates that a work or track has a remix version characterized by a particular musical genre.
-
E.
performingArtistNationality
Indicates the nationality or country of origin of the artist who performs a given work or performance.
- 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_69e11e42adb8819087714772ea606709 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f138c3cf64819087e270a1f50e629e |
completed | April 28, 2026, 10:46 p.m. |
| PD | Predicate disambiguation | batch_69e72fe1e0cc8190bd13cff2a0846225 |
completed | April 21, 2026, 8:05 a.m. |
| PDg | Predicate description generation | batch_69e7342ce08c8190bc0a7085f4a952e7 |
completed | April 21, 2026, 8:24 a.m. |
Created at: April 16, 2026, 8:39 p.m.