Triple
T24180369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Things (That) I Used to Do |
E599401
|
entity |
| Predicate | hasCoverOnAlbum |
P102620
|
FINISHED |
| Object | Couldn't Stand the Weather |
—
|
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: Couldn't Stand the Weather | Statement: [The Things (That) I Used to Do, hasCoverOnAlbum, Couldn't Stand the Weather]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoverOnAlbum Context triple: [The Things (That) I Used to Do, hasCoverOnAlbum, Couldn't Stand the Weather]
-
A.
hasCoverArtFeaturing
Indicates that one entity’s cover art visually features or depicts another entity.
-
B.
containsCoverOf
Indicates that one entity includes within it a cover or covering representation of another entity.
-
C.
coveredOnAlbum
chosen
Indicates that a song or musical work has been recorded as a cover version and included on a particular album.
-
D.
hasCoverArtVariant
Indicates that an item has an alternative version of its cover artwork distinct from the primary cover.
-
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_69e288cca05481908faeb1563711114a |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f27c9ddfcc819096697a844b300cce |
completed | April 29, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c42f942c8190b103ff29a60fef34 |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 17, 2026, 11:34 p.m.