Triple
T20137105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One’s on the Way |
E491050
|
entity |
| Predicate | hasArtistImage |
P27923
|
FINISHED |
| Object | Loretta Lynn as a voice for working-class women |
—
|
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: Loretta Lynn as a voice for working-class women | Statement: [One’s on the Way, hasArtistImage, Loretta Lynn as a voice for working-class women]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArtistImage Context triple: [One’s on the Way, hasArtistImage, Loretta Lynn as a voice for working-class women]
-
A.
isAssociatedWithArtistImage
chosen
Indicates a relationship where an entity is linked or connected to an image that represents or depicts an artist.
-
B.
hasArtist
Indicates that an entity (such as a work or item) is associated with or created by a specific artist.
-
C.
hasCoverArtFeaturing
Indicates that one entity’s cover art visually features or depicts another entity.
-
D.
coverArtistOf
Indicates that one entity is the artist who created the cover artwork for another entity, such as a book, album, or publication.
-
E.
coverArtIncludesBandLogo
Indicates that the cover art features or contains the band’s logo as part of its design.
- 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6676879f48190a59da04393d2a8cc |
completed | April 20, 2026, 5:50 p.m. |
| PD | Predicate disambiguation | batch_69e54cfb0d0081908e789b9b57e96668 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 11:32 p.m.