Triple
T2354624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue Eyes Crying in the Rain |
E47525
|
entity |
| Predicate | hasCoverVersionsBy |
P11142
|
FINISHED |
| Object | various country artists |
—
|
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: various country artists | Statement: [Blue Eyes Crying in the Rain, hasCoverVersionsBy, various country artists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoverVersionsBy Context triple: [Blue Eyes Crying in the Rain, hasCoverVersionsBy, various country artists]
-
A.
hasCoverVersions
chosen
Indicates that a musical work has one or more recorded versions performed or produced by artists other than the original creator.
-
B.
hasCoverArtFeaturing
Indicates that one entity’s cover art visually features or depicts another entity.
-
C.
hasMultipleVersions
Indicates that an entity exists in more than one distinct version or revision.
-
D.
hasKaraokeVersion
Indicates that an entity has a corresponding karaoke (instrumental or sing-along) version of itself.
-
E.
hasCoverType
Indicates that one entity possesses or is associated with a specific type or category of cover.
- 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_69a88a1b678c8190bce986922ba60ce0 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abcb802da08190980100444010f91e |
completed | March 7, 2026, 6:53 a.m. |
| PD | Predicate disambiguation | batch_69abc5981ce48190a3f7852d28276e11 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:54 p.m.