Triple
T2105453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evolver |
E37182
|
entity |
| Predicate | hasMusicalArtistType |
P35860
|
FINISHED |
| Object | American R&B group |
—
|
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: American R&B group | Statement: [Evolver, hasMusicalArtistType, American R&B group]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMusicalArtistType Context triple: [Evolver, hasMusicalArtistType, American R&B group]
-
A.
hasArtist
Indicates that an entity (such as a work or item) is associated with or created by a specific artist.
-
B.
hasArtistRole
Indicates that an entity serves in the capacity or role of an artist in relation to another entity or context.
-
C.
hasGenreArtist
Indicates that an artist is associated with or specializes in a particular genre.
-
D.
knownForMusicGenre
Indicates that an entity is recognized or notable for producing, performing, or being associated with a particular music genre.
-
E.
hasMusicalForm
Indicates that one entity (typically a musical work or piece) is characterized by or structured according to a particular musical form.
- 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_69a8861828948190924aa30c08806b3a |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abbadcd4a081909d60b9b241950335 |
completed | March 7, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69abb7b7b6288190afa11b4d93bd5666 |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abb9ce3ff08190a9501f8bb821c01c |
completed | March 7, 2026, 5:38 a.m. |
Created at: March 4, 2026, 7:43 p.m.