Triple
T35087998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No. 16 in The Well-Tempered Clavier, Book I |
E1012630
|
entity |
| Predicate | hasFugue |
P182564
|
FINISHED |
| Object | Fugue in G minor, BWV 861/2 |
—
|
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: Fugue in G minor, BWV 861/2 | Statement: [No. 16 in The Well-Tempered Clavier, Book I, hasFugue, Fugue in G minor, BWV 861/2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFugue Context triple: [No. 16 in The Well-Tempered Clavier, Book I, hasFugue, Fugue in G minor, BWV 861/2]
-
A.
hasFiddle
Indicates that one entity possesses, owns, or is associated with a fiddle (violin).
-
B.
hasFolly
Indicates that an entity possesses or exhibits a foolish, ill-judged, or irrational quality, behavior, or decision.
-
C.
hasFunnels
Indicates that one entity possesses or is equipped with one or more funnels associated with another entity or context.
-
D.
hasFabric
Indicates that one entity is made of, incorporates, or is associated with a particular type of fabric.
-
E.
hasNave
Indicates that one entity (typically a building or structure) possesses or includes a nave as a distinct architectural part.
- 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_69f76dd432ec8190969bc32acfc152b1 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7904a770481908ef3f788e51e8dba |
completed | May 3, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69f78e2d71248190b850c2802ec170c0 |
completed | May 3, 2026, 6:04 p.m. |
| PDg | Predicate description generation | batch_69f78f629d508190b755848162c4e101 |
completed | May 3, 2026, 6:09 p.m. |
Created at: May 3, 2026, 4:01 p.m.