Triple
T11581905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Contrapunctus III |
E274646
|
entity |
| Predicate | seriesOrdering |
P23880
|
FINISHED |
| Object | third fugue in The Art of 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: third fugue in The Art of Fugue | Statement: [Contrapunctus III, seriesOrdering, third fugue in The Art of Fugue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesOrdering Context triple: [Contrapunctus III, seriesOrdering, third fugue in The Art of Fugue]
-
A.
chronologicalOrderInSeries
chosen
Indicates that one entity appears earlier or later than another within an ordered sequence or series.
-
B.
seriesOf
Indicates that one entity is a sequence or ordered set of related items, events, or parts that collectively form or belong to another entity.
-
C.
seriesBy
Indicates that one entity is the creator, author, or originator of a series to which the other entity belongs.
-
D.
seriesSubject
Indicates that an entity serves as the main subject or focus of a series, such as a sequence of related works or installments.
-
E.
seriesStructure
Indicates how parts or installments are organized and related within a larger series or sequence.
- 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.