Triple
T30353522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grey Area |
E772074
|
entity |
| Predicate | featuresConfrontationalLyrics |
P92008
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Grey Area, featuresConfrontationalLyrics, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresConfrontationalLyrics Context triple: [Grey Area, featuresConfrontationalLyrics, true]
-
A.
hasControversialLyrics
Indicates that the lyrics associated with an entity are considered contentious, offensive, or likely to provoke public disagreement or debate.
-
B.
lyricalOpposition
chosen
Indicates a relationship where one entity expresses disagreement, critique, or resistance toward another through lyrics or musical text.
-
C.
featuresIntrospectiveLyrics
Indicates that the subject contains lyrics characterized by self-reflection, inner thought, or personal emotional examination.
-
D.
hasEnigmaticLyrics
Indicates that the lyrics associated with an entity are mysterious, obscure, or difficult to interpret.
-
E.
lyricKeyword
Indicates that a lyric is associated with, or can be characterized by, a particular keyword or key phrase.
- 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_69f2248c6f5c8190a6177842bf791a3c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fff09dae088190bd8460060d778feb |
completed | May 10, 2026, 2:42 a.m. |
| PD | Predicate disambiguation | batch_69fff0027c5c8190baa5c7a15852cbe0 |
completed | May 10, 2026, 2:40 a.m. |
Created at: April 29, 2026, 7:56 p.m.