Triple
T31178292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | It Should Be Easy |
E794814
|
entity |
| Predicate | featuredArtistCountry |
P9644
|
FINISHED |
| Object | United States |
—
|
NE NERFINISHED |
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: United States | Statement: [It Should Be Easy, featuredArtistCountry, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuredArtistCountry Context triple: [It Should Be Easy, featuredArtistCountry, United States]
-
A.
featuredArtistNationality
chosen
Indicates the nationality associated with an artist who is prominently featured in a work or event.
-
B.
hasCountryArtist
Indicates a relationship where an entity is associated with, represented by, or features a specific country music artist.
-
C.
associated artist nationality
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.
performingArtistNationality
Indicates the nationality or country of origin of the artist who performs a given work or performance.
- 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_69f224d675d08190957198068e440422 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a0058c341ac8190825067dc25158839 |
completed | May 10, 2026, 10:06 a.m. |
| PD | Predicate disambiguation | batch_6a005857249c81908b27587b84d84dbb |
completed | May 10, 2026, 10:05 a.m. |
Created at: April 29, 2026, 9:08 p.m.