Triple
T30331359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garota de Ipanema |
E771485
|
entity |
| Predicate | hasCoverVersionsCount |
P203152
|
FINISHED |
| Object | hundreds |
—
|
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: hundreds | Statement: [Garota de Ipanema, hasCoverVersionsCount, hundreds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoverVersionsCount Context triple: [Garota de Ipanema, hasCoverVersionsCount, hundreds]
-
A.
hasCoverVersions
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.
hasCoverVersionLanguage
Indicates that a cover version of a work is performed or produced in a specified language.
-
E.
hasRemixOrCovers
Indicates that one creative work is a remix or cover version of another work.
- F. None of above. chosen
Provenance (4 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_69f2248aba24819095bb86480d55b23b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a01295195748190b896d99c3d1f6134 |
completed | May 11, 2026, 12:56 a.m. |
| PD | Predicate disambiguation | batch_6a0128fe96dc8190a73715ab08752dd1 |
completed | May 11, 2026, 12:55 a.m. |
| PDg | Predicate description generation | batch_6a012950e8d48190a9dc1105fe7a5fb3 |
completed | May 11, 2026, 12:56 a.m. |
Created at: April 29, 2026, 7:53 p.m.