Triple
T21041614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | By the Sea |
E518338
|
entity |
| Predicate | musicalContrastWith |
P73031
|
FINISHED |
| Object | the darker, more dissonant score of Sweeney Todd overall |
—
|
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: the darker, more dissonant score of Sweeney Todd overall | Statement: [By the Sea, musicalContrastWith, the darker, more dissonant score of Sweeney Todd overall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicalContrastWith Context triple: [By the Sea, musicalContrastWith, the darker, more dissonant score of Sweeney Todd overall]
-
A.
genreContrast
Indicates a relationship where two or more works are compared or juxtaposed based on differences between their genres.
-
B.
contrastsMusicAndLyrics
Indicates a relationship where the music and the lyrics of a piece are set in opposition or tension with each other, highlighting their differences.
-
C.
dramaticContrastWith
chosen
Indicates that one entity is presented in a way that sharply emphasizes differences in tone, style, or impact when compared with another entity.
-
D.
musicalMode
Indicates the specific tonal framework or scale system (mode) in which a piece of music or musical passage is organized.
-
E.
hasNotableMelodicSimilarityTo
Indicates that one musical piece shares a clearly recognizable and significant similarity in melody with another.
- 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_69e0b50438e08190917e2538bb8bc034 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fcefe4688190ad1bed1ef2d7a3e5 |
completed | April 21, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf6728881908a2a43a5c8804a2a |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 2:15 p.m.