Triple
T21097448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Layzie Bone |
E519803
|
entity |
| Predicate | genreWithGroup |
P138469
|
FINISHED |
| Object | hip hop |
—
|
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: hip hop | Statement: [Layzie Bone, genreWithGroup, hip hop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genreWithGroup Context triple: [Layzie Bone, genreWithGroup, hip hop]
-
A.
musicGroupGenre
Indicates the musical genre or style that a particular music group is associated with or performs.
-
B.
musicGroupType
Indicates the specific kind or category of a musical group, such as its style, formation, or organizational type.
-
C.
bandGenreOfArtist
chosen
Indicates that a particular musical genre is associated with, or characterizes the style of, a given band or musical artist.
-
D.
genreAsModel
Indicates that one entity serves as a genre-based template or stylistic model for another entity.
-
E.
musicGenreCategory
Indicates that one entity is a broader music genre category under which the other music genre is classified.
- 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_69e0b508d8dc81909be940dafe36c8f7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e71b5a3a9481908e30fba9717dc461 |
completed | April 21, 2026, 6:38 a.m. |
| PD | Predicate disambiguation | batch_69e5dbfcd5e881908f1e4e0d2d237856 |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 2:52 p.m.