Triple
T20554618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Barbier de Séville |
E504684
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Rosine |
—
|
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: Rosine | Statement: [Le Barbier de Séville, mainCharacter, Rosine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rosine Context triple: [Le Barbier de Séville, mainCharacter, Rosine]
-
A.
Rosina
chosen
Rosina is a feminine given name of Latin origin, commonly used in various European cultures as a diminutive of Rosa.
-
B.
Béatrice
Béatrice is a French royal given name borne by Sophie Hélène Béatrice of France, a princess of the Bourbon dynasty.
-
C.
Rosine Blanc
Rosine Blanc was the wife of French scholar Jean-François Champollion, the linguist who deciphered Egyptian hieroglyphs.
-
D.
Cléante
Cléante is a sensible and sincere young man in Molière’s comedy *Le Malade imaginaire*, serving as the romantic suitor of Angélique and a foil to the play’s hypochondriac protagonist.
-
E.
Cléante
Cléante is a voice-of-reason character in Molière’s play "Tartuffe," known for his rationality, moderation, and moral clarity in contrast to the play’s hypocritical figures.
- 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_69e0b4b52c048190952b4d0f430813a3 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a5dbe96c8190a278dfefdb4a5c43 |
completed | April 20, 2026, 10:17 p.m. |
Created at: April 16, 2026, 11:38 a.m.