Triple
T32459439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Fleetwoods |
E829523
|
entity |
| Predicate | vocalRole_Gretchen_Christopher |
P24740
|
FINISHED |
| Object | soprano |
—
|
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: soprano | Statement: [The Fleetwoods, vocalRole_Gretchen_Christopher, soprano]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vocalRole_Gretchen_Christopher Context triple: [The Fleetwoods, vocalRole_Gretchen_Christopher, soprano]
-
A.
vocalTypeOfTancredi
Indicates the vocal classification or voice type associated with the character Tancredi.
-
B.
librettistOfWorkFeaturingCharacter
Indicates that one entity is the librettist who wrote the libretto for a work in which the other entity appears as a character.
-
C.
musicalRole
chosen
Indicates the specific function or part an entity performs within a musical context, such as in a performance, composition, or ensemble.
-
D.
voiceTypeOfCharacter Ginevra
Indicates the type or quality of voice associated with the character Ginevra.
-
E.
operaActRole
Indicates the role or character that a performer portrays in a specific act of an opera.
- 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_69f3491df9288190afc0b23b1d6e72ce |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f727afd5d88190ad48735cd1b32787 |
completed | May 3, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_69f72737c42c8190a3f781a5e98868ff |
completed | May 3, 2026, 10:45 a.m. |
Created at: May 1, 2026, 12:57 a.m.