Triple
T12258451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Come Closer |
E292159
|
entity |
| Predicate | hasAssociatedGenreMovement |
P83679
|
FINISHED |
| Object | globalization of Afrobeats |
—
|
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: globalization of Afrobeats | Statement: [Come Closer, hasAssociatedGenreMovement, globalization of Afrobeats]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAssociatedGenreMovement Context triple: [Come Closer, hasAssociatedGenreMovement, globalization of Afrobeats]
-
A.
hasGenreTransition
Indicates a change or shift from one genre to another within a work, series, or creative progression.
-
B.
hasGenreInRoles
Indicates that an entity participates in roles associated with a particular genre or set of genres.
-
C.
hasUseGenre
Indicates that something (such as a work, product, or item) is associated with or categorized under a particular genre for its use or purpose.
-
D.
hasRelationToOtherMovements
chosen
Indicates that something is connected, associated, or otherwise related to other movements in a meaningful way.
-
E.
hasGenreAsSetting
Indicates that a work’s setting is characterized by, or takes place within, a particular genre.
- 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d9380a5e78819086bd4dfe9a83d1f5 |
completed | April 10, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69d91c4a66cc819083ce6fcaf5042af6 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:52 p.m.