Triple
T33994183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miguel and J. Cole |
E871628
|
entity |
| Predicate | lyricalStyleDescription |
P9652
|
FINISHED |
| Object | introspective lyricism |
—
|
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 lyricism | Statement: [Miguel and J. Cole, lyricalStyleDescription, introspective lyricism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lyricalStyleDescription Context triple: [Miguel and J. Cole, lyricalStyleDescription, introspective lyricism]
-
A.
lyricalLanguage
Indicates that something is expressed using poetic, figurative, or highly expressive language.
-
B.
lyricalPerspective
Indicates the narrative or point of view from which lyrics are expressed in a song or vocal piece.
-
C.
hasLyricalStyle
chosen
Indicates that one entity possesses or is characterized by a particular lyrical style in relation to another entity or context.
-
D.
songwriterStyle
Indicates that one entity creates songs in the characteristic manner, genre, or stylistic approach associated with another entity.
-
E.
lyricalFunction
Indicates the role or purpose that lyrics serve within a musical or poetic work, such as narrating, expressing emotion, or structuring the piece.
- 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_69f3499f8cbc81908de6ec89fa91ea8f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f703c9eadc8190b1b008c843cb0c84 |
completed | May 3, 2026, 8:14 a.m. |
| PD | Predicate disambiguation | batch_69f70101ba1c819099380274e6df9a4d |
completed | May 3, 2026, 8:02 a.m. |
Created at: May 1, 2026, 1:50 a.m.