Triple
T20831458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swervo |
E512835
|
entity |
| Predicate | hasArtistAliasTheme |
P126881
|
FINISHED |
| Object | Swervo persona of G Herbo |
—
|
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: Swervo persona of G Herbo | Statement: [Swervo, hasArtistAliasTheme, Swervo persona of G Herbo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArtistAliasTheme Context triple: [Swervo, hasArtistAliasTheme, Swervo persona of G Herbo]
-
A.
hasMusicalAlias
Indicates that an entity is known or performs under an alternative musical name or stage name.
-
B.
pseudonymOfArtist
chosen
Indicates that one name is a pseudonym used by an artist as an alternative to their real or primary name.
-
C.
hasArtistLegalName
Indicates that an artist entity is associated with a specific legal (real) name used for official or formal purposes.
-
D.
associatedWithArtistNickname
Indicates that an entity is connected to or identified by a particular artist’s nickname or pseudonym.
-
E.
hasArtist
Indicates that an entity (such as a work or item) is associated with or created by a specific artist.
- 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_69e0b4cf62a88190bbf92351e9e57259 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c3224e788190bfc4d3dcbaa674a7 |
completed | April 21, 2026, 12:21 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a1f4f48190aa9fb4ef8f8aea5a |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:42 p.m.