Triple
T13727530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shortie No Mass |
E329703
|
entity |
| Predicate | musicBrainzGenre |
P111321
|
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: [Shortie No Mass, musicBrainzGenre, hip hop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicBrainzGenre Context triple: [Shortie No Mass, musicBrainzGenre, hip hop]
-
A.
musicBrainzType
Indicates the specific MusicBrainz-defined category or classification assigned to an entity within the MusicBrainz database.
-
B.
musicGenreCategory
Indicates that one entity is a broader music genre category under which the other music genre is classified.
-
C.
musicGroupGenre
Indicates the musical genre or style that a particular music group is associated with or performs.
-
D.
musicGenreBroad
Indicates that one music genre is a broader, more general category that encompasses another, more specific music genre.
-
E.
genreOfAssociatedPerson
Indicates that a particular genre is associated with a given person, such as an artist, author, or performer.
- F. None of above. chosen
Provenance (4 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de01f63c1c8190a7d0b84f319aa99b |
completed | April 14, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69dbbe92d77c81908e0244cffb7f78c5 |
completed | April 12, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69dbc59ca1a88190a6abd3bd00554c93 |
completed | April 12, 2026, 4:17 p.m. |
Created at: April 9, 2026, 9:55 p.m.