Triple
T12259945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calm Down |
E292193
|
entity |
| Predicate | originatedFromArtistNationality |
P32389
|
FINISHED |
| Object | Nigerian |
—
|
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: Nigerian | Statement: [Calm Down, originatedFromArtistNationality, Nigerian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originatedFromArtistNationality Context triple: [Calm Down, originatedFromArtistNationality, Nigerian]
-
A.
primaryArtistNationality
chosen
Indicates the nationality associated with the main or primary artist involved in a work or context.
-
B.
coverArtistNationality
Indicates the nationality of the artist who created the cover for a work.
-
C.
originalPerformerNationality
Indicates the country or national identity associated with the performer who first performed the work or role.
-
D.
performingArtistNationality
Indicates the nationality or country of origin of the artist who performs a given work or performance.
-
E.
worksWithArtistNationality
Indicates that one entity collaborates or is professionally associated in their work with artists of a specified nationality.
- 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_69d6ab6856488190b5d31178d5015f8e |
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.