Triple
T11581932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Contrapunctus III |
E274646
|
entity |
| Predicate | workTypeWithinCycle |
P78753
|
FINISHED |
| Object | simple fugue variant |
—
|
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: simple fugue variant | Statement: [Contrapunctus III, workTypeWithinCycle, simple fugue variant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workTypeWithinCycle Context triple: [Contrapunctus III, workTypeWithinCycle, simple fugue variant]
-
A.
workBelongsToCycle
chosen
Indicates that a specific work is associated with, and forms part of, a larger cycle or series.
-
B.
partOfWorkPeriod
Indicates that a specific time span is contained within, and belongs to, a larger defined work period.
-
C.
workPeriod
Indicates the span of time during which an entity is engaged in a particular work or employment activity.
-
D.
workTypeContributedTo
Indicates that an entity contributed to the creation, development, or production of a particular type of work.
-
E.
workSetDuring
Indicates that an action or relationship occurs within a specified time period or temporal setting.
- 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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8904c51b881909e7be84c6f3de79f |
completed | April 10, 2026, 5:53 a.m. |
| PD | Predicate disambiguation | batch_69d85dcbacd0819094d4a1237055affa |
completed | April 10, 2026, 2:17 a.m. |
Created at: April 8, 2026, 9:38 p.m.