Triple
T29180487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hungarian Rhapsodies |
E739732
|
entity |
| Predicate | typicalTempoStructure |
P148387
|
FINISHED |
| Object | lassan–friska |
—
|
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: lassan–friska | Statement: [Hungarian Rhapsodies, typicalTempoStructure, lassan–friska]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalTempoStructure Context triple: [Hungarian Rhapsodies, typicalTempoStructure, lassan–friska]
-
A.
typicalTempoPattern
Indicates the characteristic or commonly occurring tempo progression or rhythmic pattern associated with an action or event.
-
B.
typicalBeatPattern
Indicates the characteristic or standard rhythmic pattern that usually occurs in a given musical or temporal context.
-
C.
typicalBeatCount
Indicates the usual or standard number of beats associated with an event, pattern, or unit (such as a musical measure or rhythmic figure).
-
D.
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.
-
E.
typicalTempoCharacterization
chosen
Indicates how the usual or characteristic tempo of something is described or classified.
- 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_69f07cb74c2c8190ad396487fcb4fde6 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_6a018f9c7cf88190adc5daf3806f2077 |
completed | May 11, 2026, 8:13 a.m. |
| PD | Predicate disambiguation | batch_6a018ca4e0e481908091f0c1f8a4c31b |
completed | May 11, 2026, 8 a.m. |
Created at: April 28, 2026, 11:57 a.m.