Triple
T23375318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "007 (Shanty Town)" |
E593590
|
entity |
| Predicate | lyricalLanguageMix |
P75592
|
FINISHED |
| Object | Jamaican patois and 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: Jamaican patois and English | Statement: ["007 (Shanty Town)", lyricalLanguageMix, Jamaican patois and English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lyricalLanguageMix Context triple: ["007 (Shanty Town)", lyricalLanguageMix, Jamaican patois and English]
-
A.
lyricalFunction
Indicates the role or purpose that lyrics serve within a musical or poetic work, such as narrating, expressing emotion, or structuring the piece.
-
B.
lyricalPhrase
Indicates that one entity is a lyrical phrase or line that is part of, derived from, or associated with another entity such as a song, poem, or musical work.
-
C.
lyricalPerspective
Indicates the narrative or point of view from which lyrics are expressed in a song or vocal piece.
-
D.
languageMix
chosen
Indicates that multiple languages are used together or intermixed within the same context, communication, or content.
-
E.
hasLyricalStyle
Indicates that one entity possesses or is characterized by a particular lyrical style in relation to another entity or context.
- 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_69e25d268a50819095f2fd479da8ef3f |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a3b2fe9081909cc002abe50dad2a |
completed | April 29, 2026, 6:22 a.m. |
| PD | Predicate disambiguation | batch_69f061c7aaa48190a58ce93f87155ffc |
completed | April 28, 2026, 7:29 a.m. |
Created at: April 17, 2026, 5:33 p.m.