Triple
T38031982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cantaloop (Flip Fantasia) |
E948933
|
entity |
| Predicate | usesLabelCatalog |
P189972
|
FINISHED |
| Object | Blue Note jazz catalog sampling |
—
|
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: Blue Note jazz catalog sampling | Statement: [Cantaloop (Flip Fantasia), usesLabelCatalog, Blue Note jazz catalog sampling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesLabelCatalog Context triple: [Cantaloop (Flip Fantasia), usesLabelCatalog, Blue Note jazz catalog sampling]
-
A.
labelCatalog
Indicates assigning or associating a descriptive label or identifier with a catalog entity or catalog entry.
-
B.
usedLabel
Indicates that one entity has applied, assigned, or referenced a particular label to another entity or resource.
-
C.
usedByLabel
Indicates that something serves as a label or identifier that is utilized by another entity.
-
D.
usedInLabeling
Indicates that something is employed or applied as part of a labeling process or activity.
-
E.
labelCatalogType
Indicates that an entity is assigned a specific catalog type label, defining its classification within a cataloging system.
- 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_69f76efd1bc48190a729097fe5177b61 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc4748843c8190931432653be4890c |
completed | May 7, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69fc45646ce481908caf292ff9f06e15 |
completed | May 7, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69fc4747b06c8190a3ea5331f02eedad |
completed | May 7, 2026, 8:03 a.m. |
Created at: May 3, 2026, 4:20 p.m.