Triple
T8566977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Epilogue |
E202828
|
entity |
| Predicate | placeInSymphonyStructure |
P6115
|
FINISHED |
| Object | second part, final section |
—
|
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: second part, final section | Statement: [The Epilogue, placeInSymphonyStructure, second part, final section]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: placeInSymphonyStructure Context triple: [The Epilogue, placeInSymphonyStructure, second part, final section]
-
A.
orderInComposerSymphonies
Indicates the sequential position that a particular symphony occupies within the complete set of symphonies composed by a given composer.
-
B.
placeInSeries
chosen
Indicates the position or order that something occupies within a sequence or series.
-
C.
orchestrationStyle
Indicates the manner or approach by which multiple components, services, or processes are coordinated and controlled to work together.
-
D.
orchestrationFor
Indicates a relationship where one entity coordinates, arranges, or manages the actions or interactions of another entity or set of entities to achieve a desired outcome.
-
E.
hornComposition
Indicates the material or substance that an entity’s horn is made of.
- 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_69ca8327b0a881908606ff860713964d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe9d467c08190b2014d71ebbf8bbc |
completed | March 31, 2026, 3:35 p.m. |
| PD | Predicate disambiguation | batch_69cbd11856048190a1ce4b83a38f6965 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:20 p.m.