Triple
T34006138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soledad (English Version) |
E871970
|
entity |
| Predicate | hasMusicalArtistStageName |
P84992
|
FINISHED |
| Object | Don Omar |
—
|
NE NERFINISHED |
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: Don Omar | Statement: [Soledad (English Version), hasMusicalArtistStageName, Don Omar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMusicalArtistStageName Context triple: [Soledad (English Version), hasMusicalArtistStageName, Don Omar]
-
A.
hasRecordingArtistStageName
Indicates that a recording artist is known or performs under a particular stage name.
-
B.
hasMusicalAlias
chosen
Indicates that an entity is known or performs under an alternative musical name or stage name.
-
C.
hasFormerStageNameOfArtist
Indicates that one name is a former stage name previously used by an artist.
-
D.
associatedWithArtistStageName
Indicates that an entity has a relationship to, or is connected with, a particular artist’s stage name.
-
E.
hasPerformerGivenName
Indicates that a performer is associated with a specific given (first) name.
- 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_69f349a08848819084b348d64c1879c3 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fddf721c1481909301a0f379368f10 |
completed | May 8, 2026, 1:04 p.m. |
| PD | Predicate disambiguation | batch_69fddda1ae7c8190b5848ff9a9e39826 |
completed | May 8, 2026, 12:57 p.m. |
Created at: May 1, 2026, 1:50 a.m.