Triple
T11912754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leonore Overture No. 2 |
E283434
|
entity |
| Predicate | thematicMaterialSource |
P39719
|
FINISHED |
| Object | themes associated with Florestan |
—
|
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: themes associated with Florestan | Statement: [Leonore Overture No. 2, thematicMaterialSource, themes associated with Florestan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thematicMaterialSource Context triple: [Leonore Overture No. 2, thematicMaterialSource, themes associated with Florestan]
-
A.
thematicMaterial
chosen
Indicates that one entity serves as the primary recurring idea, motif, or thematic content that is developed or referenced by another entity.
-
B.
materialSource
Indicates that one entity serves as the origin or provider of the material or substance used by another entity.
-
C.
sourceMaterialType
Indicates the type or category of material from which something originates or is derived.
-
D.
featuresMaterialFrom
Indicates that one entity incorporates, contains, or is composed of material originating from another entity.
-
E.
hasSourceMaterial
Indicates that something is derived from, based on, or created using a particular source material.
- 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_69d6ab2c07e88190ba13b0d21fd6cf33 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e528f6748190ac873a040a61fa93 |
completed | April 10, 2026, 11:55 a.m. |
| PD | Predicate disambiguation | batch_69d8bb3632ac8190b13e53c2b5db7125 |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:44 p.m.