Triple
T28294891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love Is a Bourgeois Construct |
E713534
|
entity |
| Predicate | composerOfMelodicBasis |
P94602
|
FINISHED |
| Object | Michael Nyman |
—
|
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: Michael Nyman | Statement: [Love Is a Bourgeois Construct, composerOfMelodicBasis, Michael Nyman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: composerOfMelodicBasis Context triple: [Love Is a Bourgeois Construct, composerOfMelodicBasis, Michael Nyman]
-
A.
musicalBasisFor
chosen
Indicates that one musical work, idea, or element serves as the foundational source or inspiration upon which another musical work, idea, or element is built or derived.
-
B.
melodicPattern
Indicates a recurring sequence of musical tones or intervals that forms a recognizable melodic structure within a piece.
-
C.
isMelodic
Indicates that something possesses a tuneful, harmonious, or musically pleasing quality.
-
D.
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.
-
E.
melodyType
Indicates the specific kind or category of melody associated with or used by an 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_69efb524ab688190a1ce7ee7c9520932 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f6df450014819099d118e5c2d697fa |
completed | May 3, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69f6de07836481908785cde9c511920b |
completed | May 3, 2026, 5:32 a.m. |
Created at: April 27, 2026, 11:31 p.m.