Triple
T13514735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fugue in A-flat major, BWV 862 |
E322729
|
entity |
| Predicate | hasCompanionWorkType |
P104843
|
FINISHED |
| Object | prelude and fugue pair |
—
|
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: prelude and fugue pair | Statement: [Fugue in A-flat major, BWV 862, hasCompanionWorkType, prelude and fugue pair]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCompanionWorkType Context triple: [Fugue in A-flat major, BWV 862, hasCompanionWorkType, prelude and fugue pair]
-
A.
hasWorkTypeRelation
chosen
Indicates a relationship specifying the type or category of work associated with an entity.
-
B.
hasCompanionOrganization
Indicates that one organization is associated with another organization that accompanies, supports, or partners it in some related capacity.
-
C.
hasCompanionPieceType
Indicates that one item is associated with another as a companion piece of a specified type or role.
-
D.
hasPartnerInWork
Indicates that one entity collaborates professionally or is partnered with another entity in a work-related context.
-
E.
hasCompanionCandidate
Indicates that an entity is associated with another entity that is being considered or proposed as a potential companion.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf87ca288190a147fbdb2f90985f |
completed | April 12, 2026, 2:43 p.m. |
| PD | Predicate disambiguation | batch_69dbae0b63748190b5e207f84b2532ea |
completed | April 12, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:44 p.m.