Triple
T21249807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leonard Bernstein – Orchestre National de France |
E523712
|
entity |
| Predicate | recordedWorkComposerNationality |
P12042
|
FINISHED |
| Object | Belgian-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: Belgian-French | Statement: [Leonard Bernstein – Orchestre National de France, recordedWorkComposerNationality, Belgian-French]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recordedWorkComposerNationality Context triple: [Leonard Bernstein – Orchestre National de France, recordedWorkComposerNationality, Belgian-French]
-
A.
producedComposer
Indicates that one entity served as the producer for a musical work created or composed by another entity.
-
B.
hasMusicalComposer
Indicates that one entity serves as the musical composer responsible for creating the music associated with another entity.
-
C.
associatedComposerNationality
chosen
Indicates that there is a relationship between a composer and a specific nationality with which that composer is identified or associated.
-
D.
composedForMusicBy
Indicates that a musical work was specifically created or written by a particular composer.
-
E.
opusNumberOfComposer
Indicates that a specific opus number is assigned to the works of a particular 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_69e0b5146c108190adc9adb73e90abff |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7359da6e08190a96c471463c2388d |
completed | April 21, 2026, 8:30 a.m. |
| PD | Predicate disambiguation | batch_69e5f61239708190ab7b3c83ae848a0d |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 3:56 p.m.