Triple
T31285490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mazarati |
E797791
|
entity |
| Predicate | connectedToSong |
P159403
|
FINISHED |
| Object | "Kiss" by Prince |
—
|
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: "Kiss" by Prince | Statement: [Mazarati, connectedToSong, "Kiss" by Prince]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectedToSong Context triple: [Mazarati, connectedToSong, "Kiss" by Prince]
-
A.
refersToSong
chosen
Indicates that one entity makes reference to, mentions, or is about a particular song.
-
B.
basedOnSongBy
Indicates that one entity is derived from, adapted from, or otherwise created using a particular song as its source or inspiration.
-
C.
associatedWithSongTheme
Indicates a relationship where something is linked or connected to the thematic content or subject matter of a song.
-
D.
basedOnSongFrom
Indicates that one creative work is derived from, adapted from, or otherwise based on a particular song.
-
E.
sangForSongsAssociatedWith
Indicates that one entity performed singing on behalf of, or in service of, another entity specifically for songs that are associated with that second entity.
- 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_69f224def9088190a37034eab3daf57f |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fe920a437081908d5174e8cf7a53a6 |
completed | May 9, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69fe919a9a6c8190acb4483f386e6db7 |
completed | May 9, 2026, 1:44 a.m. |
Created at: April 29, 2026, 9:13 p.m.