Triple
T32737875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Is You Is or Is You Ain't My Baby |
E837140
|
entity |
| Predicate | hasLyricLanguageStyle |
P9652
|
FINISHED |
| Object | African-American vernacular English |
—
|
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: African-American vernacular English | Statement: [Is You Is or Is You Ain't My Baby, hasLyricLanguageStyle, African-American vernacular English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLyricLanguageStyle Context triple: [Is You Is or Is You Ain't My Baby, hasLyricLanguageStyle, African-American vernacular English]
-
A.
hasLyricalStyle
chosen
Indicates that one entity possesses or is characterized by a particular lyrical style in relation to another entity or context.
-
B.
hasLyricalLanguage
Indicates that something (such as a text or expression) employs poetic, expressive, or highly figurative language.
-
C.
hasLyricsTone
Indicates the tonal quality or emotional character expressed by the lyrics of a piece of music.
-
D.
hasBoldLyrics
Indicates that the lyrics of an entity (such as a song or text segment) are styled or presented in bold.
-
E.
hasLyricsFeature
Indicates that something possesses a particular characteristic or attribute related to its lyrics.
- 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_69f34936e1748190b797e406e4e9293a |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6cd126fcc8190aa1f1f146e45ec0c |
completed | May 3, 2026, 4:20 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1470808190b70cdfd7a6395670 |
completed | May 3, 2026, 4:16 a.m. |
Created at: May 1, 2026, 1:12 a.m.