Triple
T8427021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | bossa nova movement |
E199027
|
entity |
| Predicate | typicalRhythm |
P7864
|
FINISHED |
| Object | samba rhythm |
—
|
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: samba rhythm | Statement: [bossa nova movement, typicalRhythm, samba rhythm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalRhythm Context triple: [bossa nova movement, typicalRhythm, samba rhythm]
-
A.
typicalTempoPattern
Indicates the characteristic or commonly occurring tempo progression or rhythmic pattern associated with an action or event.
-
B.
typicalTempoControl
Indicates that one entity serves as the usual or standard means by which the tempo of another entity (such as a process or activity) is regulated or controlled.
-
C.
rhythmicOrganization
Indicates how temporal patterns, accents, and durations are structured or arranged in relation to one another within a sequence or system.
-
D.
hasRhythmicStyle
chosen
Indicates that one entity exhibits or is characterized by a particular rhythmic pattern or style in its expression or behavior.
-
E.
typicalNotation
Indicates that one entity is the standard or commonly used symbolic representation (notation) for 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_69ca8313c99081909a5c6d83b91de5b3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe30fba4081908bfdef3faf5baceb |
completed | March 31, 2026, 3:06 p.m. |
| PD | Predicate disambiguation | batch_69cbd0ec200c8190b0299e2b0b4bdcc2 |
completed | March 31, 2026, 1:49 p.m. |
Created at: March 30, 2026, 6:07 p.m.