Triple
T22394376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Claude-Michel Schönberg |
E553591
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Claude-Michel |
—
|
NE NERFINISHED |
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: Claude-Michel | Statement: [Claude-Michel Schönberg, givenName, Claude-Michel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Claude-Michel Context triple: [Claude-Michel Schönberg, givenName, Claude-Michel]
-
A.
Claude-Michel Schönberg
chosen
Claude-Michel Schönberg is a French composer best known for co-creating the hit stage musicals Les Misérables and Miss Saigon.
-
B.
Alain Boublil
Alain Boublil is a French lyricist and librettist best known for co-creating the stage musical Les Misérables and other major musical theatre works.
-
C.
Ludovic Bource
Ludovic Bource is a French composer best known for his award-winning score for the silent film "The Artist."
-
D.
Léo Delibes
Léo Delibes was a 19th-century French composer renowned for his influential ballet and opera scores, including works that became central to the Parisian theatrical repertoire.
-
E.
Laurent Ciman
Laurent Ciman is a Belgian professional footballer and former international center-back known for his standout defensive play in Major League Soccer and Europe.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e4cf87c8190a1ff474daec326b7 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1585dac3c8190bc221f35b3eefa3f |
completed | April 29, 2026, 1:01 a.m. |
Created at: April 16, 2026, 8:45 p.m.