Triple
T12482681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jesus (bass) |
E298350
|
entity |
| Predicate | hasMusicalNumberType |
P91085
|
FINISHED |
| Object | recitative |
—
|
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: recitative | Statement: [Jesus (bass), hasMusicalNumberType, recitative]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMusicalNumberType Context triple: [Jesus (bass), hasMusicalNumberType, recitative]
-
A.
hasMusicalForm
Indicates that one entity (typically a musical work or piece) is characterized by or structured according to a particular musical form.
-
B.
hasMusical
Indicates that one entity features, includes, or is associated with a musical work, performance, or musical component.
-
C.
hasMusicalSettingsBy
Indicates that a work has been set to music or musically arranged by a specified creator or composer.
-
D.
hasMusicalWorkType
chosen
Indicates that a musical work is associated with a specific type or category of musical composition.
-
E.
hasMusicalArtistType
Indicates that an entity has a specific role or classification as a type of musical artist (e.g., solo artist, band, composer).
- 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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94e8a706c8190873623eab7db607d |
completed | April 10, 2026, 7:24 p.m. |
| PD | Predicate disambiguation | batch_69d94d41f3cc8190a3331fb9a895306f |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:56 p.m.