Triple
T9038953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glory Days |
E216570
|
entity |
| Predicate | contrastsMusicAndLyrics |
P85827
|
FINISHED |
| Object | upbeat sound with bittersweet lyrics |
—
|
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: upbeat sound with bittersweet lyrics | Statement: [Glory Days, contrastsMusicAndLyrics, upbeat sound with bittersweet lyrics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contrastsMusicAndLyrics Context triple: [Glory Days, contrastsMusicAndLyrics, upbeat sound with bittersweet lyrics]
-
A.
includesMusicAndLyrics
Indicates that something contains both the musical composition and the accompanying song lyrics as integral parts.
-
B.
lyricalPerspective
Indicates the narrative or point of view from which lyrics are expressed in a song or vocal piece.
-
C.
genreContrast
Indicates a relationship where two or more works are compared or juxtaposed based on differences between their genres.
-
D.
hasLyricsTone
Indicates the tonal quality or emotional character expressed by the lyrics of a piece of music.
-
E.
hasNoLyrics
Indicates that the referenced musical work or audio track does not contain any sung or spoken lyrics.
- 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_69ca83d10b608190b2b2f8e0a7faaf14 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6ac35db081908222e233933060b0 |
completed | April 1, 2026, 12:45 a.m. |
| PD | Predicate disambiguation | batch_69cc5ee3597c81908919cf866ae95c24 |
completed | March 31, 2026, 11:55 p.m. |
| PDg | Predicate description generation | batch_69cc5f6dec4081909379bd57c02a5710 |
completed | March 31, 2026, 11:57 p.m. |
Created at: March 30, 2026, 7:09 p.m.