Triple
T2483597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toccata and Fugue in D minor, BWV 565 |
E55874
|
entity |
| Predicate | secondSection |
P2254
|
FINISHED |
| Object | fugue |
—
|
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: fugue | Statement: [Toccata and Fugue in D minor, BWV 565, secondSection, fugue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondSection Context triple: [Toccata and Fugue in D minor, BWV 565, secondSection, fugue]
-
A.
secondPartTitle
Indicates that one entity is the second part of the title of another entity.
-
B.
secondPartFocus
Indicates that the communicative or informational focus is placed on the second part or element in a two-part structure or relation.
-
C.
secondPartSubject
Indicates that the referenced entity serves as the second part or component of the subject in a composite or multipart relationship.
-
D.
secondWork
Indicates that one work is the second in order relative to another work within a sequence or set.
-
E.
textOfSection2
chosen
Indicates that one entity is the textual content that constitutes the second section of another 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_69ab49e670a88190b928e08302381710 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd20b6d008190acec0eb172e218c9 |
completed | March 7, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69abd0b7cf088190bcff4dac6150044c |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:45 p.m.