Triple
T21642143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarah Dash |
E534111
|
entity |
| Predicate | performedGenreWithLabelle |
P145355
|
FINISHED |
| Object | R&B |
—
|
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: R&B | Statement: [Sarah Dash, performedGenreWithLabelle, R&B]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performedGenreWithLabelle Context triple: [Sarah Dash, performedGenreWithLabelle, R&B]
-
A.
performedGenreWithPrince
Indicates that an entity performed a specific musical genre together with Prince.
-
B.
performedAsSingerIn
Indicates that an entity took part in a performance specifically in the role of a singer within a particular event, production, or context.
-
C.
performedSongFor
Indicates that one entity performed a song specifically for another entity as the intended audience or recipient.
-
D.
performedSongsBy
Indicates that one entity has performed songs that were created, owned, or associated with another entity.
-
E.
performedSong
Indicates that an entity (such as an artist or performer) has given a performance of a particular song.
- 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_69e0c465ae7481908577b7209fdb2a77 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef5392343c81909820cb0c3c6a4284 |
completed | April 27, 2026, 12:16 p.m. |
| PD | Predicate disambiguation | batch_69e69677b9c48190bf81f795aa8ad74e |
completed | April 20, 2026, 9:11 p.m. |
| PDg | Predicate description generation | batch_69e69cb4bcbc8190a4fc2d508df107be |
completed | April 20, 2026, 9:37 p.m. |
Created at: April 16, 2026, 6:35 p.m.