Triple
T20519227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Now I Wanna Be a Good Boy |
E503760
|
entity |
| Predicate | lyricComplexity |
P59482
|
FINISHED |
| Object | simple 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: simple lyrics | Statement: [Now I Wanna Be a Good Boy, lyricComplexity, simple lyrics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lyricComplexity Context triple: [Now I Wanna Be a Good Boy, lyricComplexity, simple lyrics]
-
A.
lyricalComplexity
chosen
Indicates the degree to which lyrics exhibit intricate structure, vocabulary, and thematic depth in their composition.
-
B.
lyricFocus
Indicates that the primary emphasis or subject of the lyrics is centered on a particular entity or theme.
-
C.
lyricalPerspective
Indicates the narrative or point of view from which lyrics are expressed in a song or vocal piece.
-
D.
lyricText
Indicates that one entity is the lyrical content or words of a song or musical piece associated with another entity.
-
E.
lyricType
Indicates the specific category or role that a lyric plays within a musical or lyrical work (e.g., verse, chorus, bridge).
- 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_69e0b4b2aa788190ae9eb37c1d73b1f1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69f44b6ac8190a4f2f5244821c433 |
completed | April 20, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69e59fdb7ad88190924176c32a195db3 |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:36 a.m.