Triple
T5279975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Malade imaginaire |
E119470
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Angélique |
E329776
|
NE 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: Angélique | Statement: [Le Malade imaginaire, character, Angélique]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angélique Context triple: [Le Malade imaginaire, character, Angélique]
-
A.
Angélique
chosen
Angélique is a French feminine given name historically borne by figures such as Angélique Diderot, the daughter of philosopher Denis Diderot.
-
B.
Sébastienne
Sébastienne is a French feminine given name, used here as part of the full name Louise Sébastienne Gély.
-
C.
Angélique de Bullion
Angélique de Bullion was a 17th-century French noblewoman and philanthropist who played a key role in financing early Catholic missionary and colonization efforts in New France, particularly in Montreal.
-
D.
Agnès
Agnès is the naive young ward in Molière’s comedy "L’École des femmes," whose sheltered upbringing and awakening to love drive the play’s central conflict.
-
E.
Mademoiselle de Lancey
Mademoiselle de Lancey is a portrait painting by the 19th-century French artist Carolus-Duran, exemplifying his elegant, realist style and refined depiction of high-society sitters.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69bd446d05a8819092ad333a3f9c8d5c |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd84c409248190a0154a660f58e096 |
completed | March 20, 2026, 5:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf06dd56a08190a7cfef614e5990f4 |
completed | March 21, 2026, 9 p.m. |
Created at: March 20, 2026, 1:52 p.m.