Triple
T12224318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Making Love with the Radio On |
E291305
|
entity |
| Predicate | associatedPerformerNationality |
P71623
|
FINISHED |
| Object | American |
—
|
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: American | Statement: [Making Love with the Radio On, associatedPerformerNationality, American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedPerformerNationality Context triple: [Making Love with the Radio On, associatedPerformerNationality, American]
-
A.
performingArtistNationality
Indicates the nationality or country of origin of the artist who performs a given work or performance.
-
B.
originalPerformerNationality
Indicates the country or national identity associated with the performer who first performed the work or role.
-
C.
associated artist nationality
chosen
Indicates the country or nationality with which an artist connected to the subject is identified.
-
D.
primaryArtistNationality
Indicates the nationality associated with the main or primary artist involved in a work or context.
-
E.
performerOrigin
Indicates that a performer originates from, or is associated with, a particular place or region.
- 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d920e312708190b4aede2e21f5f697 |
completed | April 10, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69d91c3d669c81908eea7ad61122d275 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:51 p.m.