Triple
T22505780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Réjouissance |
E556384
|
entity |
| Predicate | melodicFeatures |
P84026
|
FINISHED |
| Object | fanfaric themes |
—
|
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: fanfaric themes | Statement: [La Réjouissance, melodicFeatures, fanfaric themes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: melodicFeatures Context triple: [La Réjouissance, melodicFeatures, fanfaric themes]
-
A.
featuresCounterMelody
Indicates that the subject includes or incorporates a secondary melodic line that complements and contrasts with the main melody.
-
B.
melodicContour
Indicates the pattern of pitch movement over time in a musical line, describing how notes rise, fall, or stay level relative to one another.
-
C.
melodicPattern
chosen
Indicates a recurring sequence of musical tones or intervals that forms a recognizable melodic structure within a piece.
-
D.
isMelodic
Indicates that something possesses a tuneful, harmonious, or musically pleasing quality.
-
E.
featuresMelodicStorytelling
Indicates that something includes or is characterized by a narrative conveyed primarily through melody, where musical phrases tell or enhance a story.
- 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_69e11e555edc81909ca803587dafd747 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15d5bf0f0819093426d83ebd80ef0 |
completed | April 29, 2026, 1:22 a.m. |
| PD | Predicate disambiguation | batch_69e898be31448190be5ae7f5656f0497 |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:50 p.m.