Triple
T28028898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prelude |
E708205
|
entity |
| Predicate | stylisticallyConnectedTo |
P86170
|
FINISHED |
| Object | Tissues and Issues |
—
|
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: Tissues and Issues | Statement: [Prelude, stylisticallyConnectedTo, Tissues and Issues]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stylisticallyConnectedTo Context triple: [Prelude, stylisticallyConnectedTo, Tissues and Issues]
-
A.
hasMusicalStyleSimilarTo
chosen
Indicates that two entities share a comparable or closely related musical style or sound.
-
B.
musicalArtistAssociated
Indicates a relationship where one musical artist is professionally connected or affiliated with another, such as through collaboration, membership, or frequent association.
-
C.
musicalCollaborator
Indicates a relationship where two or more entities work together in creating, performing, or producing music.
-
D.
referencedByArtist
Indicates that an artist has mentioned, cited, or otherwise referred to the target entity in their work or related materials.
-
E.
notableAssociatedArtist
Indicates that there is a significant or noteworthy association between an artist and another entity, such as a work, organization, or place.
- 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_69ef9b6bdd9c8190bb3a574a03774ad1 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f63c709b7c81909afc14cb51f43bb8 |
completed | May 2, 2026, 6:03 p.m. |
| PD | Predicate disambiguation | batch_69f63710d17c819084cfe96e6df334fd |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 8:14 p.m.