Triple
T25942774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suzanne Verdal |
E653750
|
entity |
| Predicate | inspiredSongGenre |
P40291
|
FINISHED |
| Object | folk |
—
|
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: folk | Statement: [Suzanne Verdal, inspiredSongGenre, folk]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inspiredSongGenre Context triple: [Suzanne Verdal, inspiredSongGenre, folk]
-
A.
inspiredSong
Indicates that one entity (such as an event, person, or work) served as the creative inspiration or motivating influence for the creation of a particular song.
-
B.
genreOfInspiration
chosen
Indicates that one entity serves as the inspirational genre or stylistic source for the creation, style, or classification of another entity.
-
C.
inspiredByBand
Indicates that one entity (such as a work, style, or artist) was creatively influenced or motivated by a particular band.
-
D.
hasGenreInfluenceOn
Indicates that one genre has a notable impact on shaping or influencing the characteristics, style, or development of another genre.
-
E.
hasMusicalStyleSimilarTo
Indicates that two entities share a comparable or closely related musical style or sound.
- 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_69e7ab3fd2f881908837305e4ba98011 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f61f12b0f08190bc4a16907941864c |
completed | May 2, 2026, 3:58 p.m. |
| PD | Predicate disambiguation | batch_69f61b37a5648190b10d33ae205ccfee |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 22, 2026, 8:41 a.m.