Triple
T3249378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Rêve |
E68138
|
entity |
| Predicate | mainCharacter |
P1183
|
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 Rêve, mainCharacter, Angélique]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angélique Context triple: [Le Rêve, mainCharacter, 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.
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.
-
C.
Madame Merle
Madame Merle is a sophisticated, manipulative socialite in Henry James’s novel "The Portrait of a Lady," known for her calculated influence over the heroine Isabel Archer.
-
D.
Célestine
Célestine is a French feminine given name of Latin origin, derived from "caelestis," meaning "heavenly" or "celestial."
-
E.
Laetitia
Laetitia is a feminine given name of Latin origin, historically borne by figures such as the English poet and essayist Anna Laetitia Barbauld.
- 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_69ad858e4c708190aa31d486cfee8a6a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaf3fc3c8819080ac95974581ca0e |
completed | March 8, 2026, 5:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2776934108190ac405ba5ebd47084 |
completed | March 12, 2026, 8:20 a.m. |
Created at: March 8, 2026, 3:09 p.m.