Triple
T32362403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raymonda, Op. 57 |
E826898
|
entity |
| Predicate | firstRaymondaInterpreter |
P63105
|
FINISHED |
| Object | Pierina Legnani |
E228935
|
NE 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: Pierina Legnani | Statement: [Raymonda, Op. 57, firstRaymondaInterpreter, Pierina Legnani]
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 (4 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_69f34915a2588190bb3178f5ec2f48f4 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a33e8aa42448190ac5353dd6c57ac47 |
completed | June 18, 2026, 12:46 p.m. |
| PD | Predicate disambiguation | batch_6a0379edf2d88190b492fca86ed23cac |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 12:49 a.m.