Triple
T31317590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anti-Hero (Roosevelt Remix) |
E798637
|
entity |
| Predicate | hasRemixerNationality |
P147376
|
FINISHED |
| Object | German |
—
|
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: German | Statement: [Anti-Hero (Roosevelt Remix), hasRemixerNationality, German]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRemixerNationality Context triple: [Anti-Hero (Roosevelt Remix), hasRemixerNationality, German]
-
A.
hasRemixArtistNationality
Indicates that the nationality of the artist who created a remix version of a work is a specified country or region.
-
B.
remixerNationality
chosen
Indicates the country or national affiliation of the person who created a remix of a work.
-
C.
hasRemixer
Indicates that one entity has been remixed or reworked by another entity, identifying the remixer of the original.
-
D.
hasRemixProducer
Indicates that one entity serves as the producer responsible for creating a remix version of another entity (typically a musical work).
-
E.
hadNationalityMix
Indicates that an entity possessed a combination of multiple nationalities or national backgrounds.
- 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_69f224e1932c81908fef14f7b03a10b7 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a013e23698c81909a32d371b6f158d0 |
completed | May 11, 2026, 2:25 a.m. |
| PD | Predicate disambiguation | batch_6a013db04b108190985897aa6e95b4ec |
completed | May 11, 2026, 2:23 a.m. |
Created at: April 29, 2026, 9:15 p.m.