Triple
T27858717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jennifer Rush |
E704155
|
entity |
| Predicate | songCoveredByOtherArtists |
P11142
|
FINISHED |
| Object | The Power of Love |
—
|
NE NERFINISHED |
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: The Power of Love | Statement: [Jennifer Rush, songCoveredByOtherArtists, The Power of Love]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: songCoveredByOtherArtists Context triple: [Jennifer Rush, songCoveredByOtherArtists, The Power of Love]
-
A.
laterPopularizedByCoversOfSong
Indicates that a song became widely known or gained greater popularity primarily through cover versions performed by other artists.
-
B.
hasCoverVersions
chosen
Indicates that a musical work has one or more recorded versions performed or produced by artists other than the original creator.
-
C.
hasCoverVersionPerformer
Indicates that an entity is the performer of a cover version of another entity’s original work.
-
D.
laterPopularizedByCovers
Indicates that a work became widely known or gained greater popularity primarily through later cover versions by other artists.
-
E.
featuresSongwriterCovered
Indicates that one entity includes or highlights a songwriter whose work has been covered in a song or performance by 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_69ef840e614c8190a88cf9638c14a265 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f639412ad0819090444a914a0e90a3 |
completed | May 2, 2026, 5:49 p.m. |
| PD | Predicate disambiguation | batch_69f6318ae6f08190b3f85f9201046a15 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 6:16 p.m.