Triple
T32362403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raymonda, Op. 57 |
E826898
|
entity |
| Predicate | firstRaymondaInterpreter |
—
|
GENERATED |
| Object | Pierina Legnani |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstRaymondaInterpreter Context triple: [Raymonda, Op. 57, firstRaymondaInterpreter, Pierina Legnani]
-
A.
eraInterpreted
Indicates that one entity has been interpreted, understood, or given meaning by another entity.
-
B.
interpreter
chosen
Indicates that one entity serves to translate or render the meaning of another entity (such as language, code, or symbols) into an understandable or executable form.
-
C.
firstProgram
Indicates that an entity is the initial or earliest program associated with another entity (such as a person, project, or system).
-
D.
designatesInterpreter
Indicates that one entity formally assigns or identifies another entity as the interpreter responsible for translating or mediating communication.
-
E.
mainWorkInterpreted
Indicates that one work serves as the primary interpretation, translation, or explanatory rendering of another work.
- F. None of above.
Provenance (1 batch)
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_69f34915a2588190bb3178f5ec2f48f4 |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 12:49 a.m.