Triple
T23964788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dog a Go Nyam Dog Dub |
E604036
|
entity |
| Predicate | originGenreContext |
P31483
|
FINISHED |
| Object | roots reggae scene |
—
|
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: roots reggae scene | Statement: [Dog a Go Nyam Dog Dub, originGenreContext, roots reggae scene]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originGenreContext Context triple: [Dog a Go Nyam Dog Dub, originGenreContext, roots reggae scene]
-
A.
genreContext
Indicates the contextual genre or categorical style associated with an entity, such as the thematic or stylistic framework in which it is situated.
-
B.
primarySourceGenre
Indicates the genre or type of creative work that serves as the primary source for something (e.g., an adaptation, derivative work, or related resource).
-
C.
hasGenreOrigin
chosen
Indicates that a genre originates from, or has its roots in, a particular source, place, culture, or tradition.
-
D.
targetGenre
Indicates the genre that something is specifically aimed at, categorized under, or intended to belong to.
-
E.
partOfWorkGenreContext
Indicates that something occurs within or is associated with the genre-related context of a particular work.
- 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_69e29543019c8190872462e593cc50b4 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d1d7077881909d4774b7040cd722 |
completed | April 29, 2026, 9:39 a.m. |
| PD | Predicate disambiguation | batch_69f161578d54819084a8b35496299993 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:24 p.m.