Triple
T36145919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "What Is a Youth" |
E1045447
|
entity |
| Predicate | hasMelodicRelationTo |
P81361
|
FINISHED |
| Object | "A Time for Us" |
—
|
NE NERFINISHED |
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: "A Time for Us" | Statement: ["What Is a Youth", hasMelodicRelationTo, "A Time for Us"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMelodicRelationTo Context triple: ["What Is a Youth", hasMelodicRelationTo, "A Time for Us"]
-
A.
musicTheoryRelation
Indicates a conceptual or structural relationship between musical elements, such as notes, chords, scales, or harmonic functions, within the framework of music theory.
-
B.
hasNotableMelodicSimilarityTo
chosen
Indicates that one musical piece shares a clearly recognizable and significant similarity in melody with another.
-
C.
isMelodic
Indicates that something possesses a tuneful, harmonious, or musically pleasing quality.
-
D.
hasTempoRelation
Indicates a relationship between two temporal elements specifying how their tempos compare or relate to each other.
-
E.
hasMelodicRange
Indicates that a musical piece, phrase, or part spans a specific interval between its lowest and highest pitches.
- 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_69f76e37ace88190a906b107d388f5d1 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ff4de66ba481908e7184b3cf9d4d2d |
completed | May 9, 2026, 3:08 p.m. |
| PD | Predicate disambiguation | batch_69ff4c702a5881909c6684c74807e945 |
completed | May 9, 2026, 3:02 p.m. |
Created at: May 3, 2026, 4:08 p.m.