Triple
T29721443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M.81 |
E752063
|
entity |
| Predicate | workNationalityOfComposer |
P143926
|
FINISHED |
| Object | French |
—
|
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: French | Statement: [M.81, workNationalityOfComposer, French]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workNationalityOfComposer Context triple: [M.81, workNationalityOfComposer, French]
-
A.
associatedComposerNationality
Indicates that there is a relationship between a composer and a specific nationality with which that composer is identified or associated.
-
B.
countryOfOriginOfComposer
chosen
Indicates the country from which a composer originates or is associated as their place of origin.
-
C.
coArtistNationality
Indicates that two artists who have collaborated share the same nationality.
-
D.
associatedNationalityOfConductor
Indicates that a conductor is linked to or identified with a particular nationality.
-
E.
primaryArtistNationality
Indicates the nationality associated with the main or primary artist involved in a work or context.
- 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_69f0d628c00c8190ab5ee7e423d7ec3c |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f672fbd174819094642a594a447e47 |
completed | May 2, 2026, 9:56 p.m. |
| PD | Predicate disambiguation | batch_69f66ac1a4fc81909740d2e52fbe6970 |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 28, 2026, 7:36 p.m.