Triple
T27068131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Villa Donna |
E685234
|
entity |
| Predicate | associatedWithMusicOf |
P2152
|
FINISHED |
| Object | ABBA |
—
|
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: ABBA | Statement: [Villa Donna, associatedWithMusicOf, ABBA]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithMusicOf Context triple: [Villa Donna, associatedWithMusicOf, ABBA]
-
A.
associatedMusic
chosen
Indicates a relationship where one entity is linked to or connected with a piece of music, such as being used by, related to, or thematically tied to that music.
-
B.
associatedWithMusicScene
Indicates a relationship where an entity is connected or linked to a particular music scene, culture, or community.
-
C.
musicalAssociation
Indicates a relationship where entities are connected through music, such as collaboration, influence, shared performance, or other musically relevant association.
-
D.
musicalArtistAssociated
Indicates a relationship where one musical artist is professionally connected or affiliated with another, such as through collaboration, membership, or frequent association.
-
E.
alsoAttributedMusicTo
Indicates that additional musical works or contributions are credited to the same entity beyond those already specified.
- 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_69ef14835fcc81908bd737b4267ae528 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69ffac35ac5481908b6bdfd5bbe8c76e |
completed | May 9, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69ffabbfd2548190964c851496bbbaee |
completed | May 9, 2026, 9:48 p.m. |
Created at: April 27, 2026, 8:26 a.m.