Triple
T20797953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Concerto in Slendro |
E511960
|
entity |
| Predicate | composedByNationality |
P103098
|
FINISHED |
| Object | American composer |
—
|
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: American composer | Statement: [Concerto in Slendro, composedByNationality, American composer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: composedByNationality Context triple: [Concerto in Slendro, composedByNationality, American composer]
-
A.
associatedComposerNationality
Indicates that there is a relationship between a composer and a specific nationality with which that composer is identified or associated.
-
B.
compositionCountry
Indicates the country in which something (typically a work or item) was created, composed, or produced.
-
C.
composedBy
Indicates that one entity is the creator or author of a musical or artistic work associated with another entity.
-
D.
createdByNationality
chosen
Indicates that something was created by an individual or group belonging to a specified nationality.
-
E.
composerCountry
Indicates the country with which a composer is associated, typically by birth, citizenship, or primary activity.
- 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_69e0b4cc69f481908e98751e697b9df4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2ae2c4c819087f620df31dc1aba |
completed | April 21, 2026, 12:19 a.m. |
| PD | Predicate disambiguation | batch_69e5c0575b1c81908d010223fcd1213e |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:39 p.m.