Triple
T20311198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ain't That Lonely Yet (acoustic version) |
E510246
|
entity |
| Predicate | sourceSongGenre |
P30697
|
FINISHED |
| Object | country music |
—
|
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: country music | Statement: [Ain't That Lonely Yet (acoustic version), sourceSongGenre, country music]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sourceSongGenre Context triple: [Ain't That Lonely Yet (acoustic version), sourceSongGenre, country music]
-
A.
songType
chosen
Indicates the specific category or genre that a given song belongs to.
-
B.
genreRecognized
Indicates that a particular genre has been identified or acknowledged as applicable to an entity.
-
C.
genreOfAssociatedPerson
Indicates that a particular genre is associated with a given person, such as an artist, author, or performer.
-
D.
musicBrainzGenre
Indicates that one entity is associated with a musical genre classification as defined in the MusicBrainz database.
-
E.
genreAsModel
Indicates that one entity serves as a genre-based template or stylistic model for another entity.
- 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_69e0b4c7491c8190961113c4283b10b0 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e677441f9c8190acf98dc92c77732b |
completed | April 20, 2026, 6:58 p.m. |
| PD | Predicate disambiguation | batch_69e55b21b09081909e46691b6f45a07f |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 16, 2026, 11:19 a.m.