Triple
T16005587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pronounced ‘Lĕh-’nérd ‘Skin-’nérd |
E388207
|
entity |
| Predicate | artistGenre |
P63466
|
FINISHED |
| Object | Southern rock |
—
|
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: Southern rock | Statement: [Pronounced ‘Lĕh-’nérd ‘Skin-’nérd, artistGenre, Southern rock]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: artistGenre Context triple: [Pronounced ‘Lĕh-’nérd ‘Skin-’nérd, artistGenre, Southern rock]
-
A.
genreOfAssociatedPerson
Indicates that a particular genre is associated with a given person, such as an artist, author, or performer.
-
B.
albumGenre
Indicates that a musical album belongs to or is categorized under a particular genre.
-
C.
hasArtistGenre
chosen
Indicates that an artist is associated with or categorized under a particular musical or artistic genre.
-
D.
inArtGenre
Indicates that an artwork or artistic work belongs to, is classified under, or is created in a particular art genre.
-
E.
hasGenreArtist
Indicates that an artist is associated with or specializes in a particular genre.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e173b3bf6c81909230170e833d7ce7 |
completed | April 16, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69e142dc081c819082527e3fa8773460 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:55 a.m.