Triple
T6283370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Just Don’t Know What to Do with Myself |
E140831
|
entity |
| Predicate | hasCoverVersionCount |
P11142
|
FINISHED |
| Object | many |
—
|
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: many | Statement: [I Just Don’t Know What to Do with Myself, hasCoverVersionCount, many]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoverVersionCount Context triple: [I Just Don’t Know What to Do with Myself, hasCoverVersionCount, many]
-
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.
hasCoverType
Indicates that one entity possesses or is associated with a specific type or category of cover.
-
E.
hasVersionCount
Indicates the total number of distinct versions associated with a given 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_69c008cd17c8819082b82d3fbeb68047 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063fb6b1c8190b19a674c18fc9c53 |
completed | March 22, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69c05608a5608190b22a1fdc4060470d |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:26 p.m.