Triple
T16099428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peggy Sue |
E390575
|
entity |
| Predicate | hasNotableCoverVersionsBy |
P11142
|
FINISHED |
| Object | various 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 artists | Statement: [Peggy Sue, hasNotableCoverVersionsBy, various artists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableCoverVersionsBy Context triple: [Peggy Sue, hasNotableCoverVersionsBy, various 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.
hasCoverVersionPerformer
Indicates that an entity is the performer of a cover version of another entity’s original work.
-
C.
hasCoverVersionInGenre
Indicates that an entity has at least one cover version that is performed or produced within a specified musical genre.
-
D.
hasCountryCoverVersionBy
Indicates that one entity is a country music cover version of another entity (typically an original song or recording).
-
E.
hasRemixOrCovers
Indicates that one creative work is a remix or cover version of another work.
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff6672848190922b5ebb90e18947 |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e182804208819087f35307cd6e4103 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5 a.m.