Triple
T36085783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Back for Everything |
E1043768
|
entity |
| Predicate | describesLyricalContent |
P68738
|
FINISHED |
| Object | introspective storytelling |
—
|
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: introspective storytelling | Statement: [Back for Everything, describesLyricalContent, introspective storytelling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: describesLyricalContent Context triple: [Back for Everything, describesLyricalContent, introspective storytelling]
-
A.
lyricalMood
Indicates the prevailing emotional tone or atmosphere conveyed through lyrics or vocal expression in a piece of music.
-
B.
lyricalMotive
Indicates a recurring musical or textual idea that serves as a unifying expressive element within a lyrical or vocal work.
-
C.
featuresIntrospectiveLyrics
chosen
Indicates that the subject contains lyrics characterized by self-reflection, inner thought, or personal emotional examination.
-
D.
lyricalPerspective
Indicates the narrative or point of view from which lyrics are expressed in a song or vocal piece.
-
E.
usesLyricalElementsFrom
Indicates that one work incorporates or borrows lyrical components (such as words, phrases, or stylistic features) from another work.
- 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_69f76e3154908190a6f702671c2bea08 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd783fed9c81909e792702636c4f1f |
completed | May 8, 2026, 5:44 a.m. |
| PD | Predicate disambiguation | batch_69fd7788e63c81909de22fdafcfe41c0 |
completed | May 8, 2026, 5:41 a.m. |
Created at: May 3, 2026, 4:08 p.m.