Triple
T37134165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Memories |
E919608
|
entity |
| Predicate | melodicInterpolationOf |
P187181
|
FINISHED |
| Object | Pachelbel's Canon in D |
—
|
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: Pachelbel's Canon in D | Statement: [Memories, melodicInterpolationOf, Pachelbel's Canon in D]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: melodicInterpolationOf Context triple: [Memories, melodicInterpolationOf, Pachelbel's Canon in D]
-
A.
melodicPattern
Indicates a recurring sequence of musical tones or intervals that forms a recognizable melodic structure within a piece.
-
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.
isMelodic
Indicates that something possesses a tuneful, harmonious, or musically pleasing quality.
-
D.
melodyMeter
Indicates a relationship where a melody is associated with, or structured according to, a specific metrical pattern or time signature.
-
E.
hasMoreMelodicSoundThan
Indicates that the sound produced by one entity is judged to be more melodic, tuneful, or musically pleasing than the sound produced by another entity.
- 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_69f76e9d13e48190a108f7fbf80ff375 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb344c60f8819090f2e21e1e61d621 |
completed | May 6, 2026, 12:30 p.m. |
| PD | Predicate disambiguation | batch_69fb2f642db08190b562725502c74ea6 |
completed | May 6, 2026, 12:09 p.m. |
| PDg | Predicate description generation | batch_69fb344ba5408190a6fe8face293d88b |
completed | May 6, 2026, 12:30 p.m. |
Created at: May 3, 2026, 4:15 p.m.