Triple

T9846406
Position Surface form Disambiguated ID Type / Status
Subject My Night at Maud’s E239351 entity
Predicate mainCharacter P1183 FINISHED
Object Françoise
Françoise is a central character in Éric Rohmer’s film "My Night at Maud’s," representing the devout, idealized young woman with whom the protagonist becomes romantically involved.
 E825584 NE FINISHED

How this triple was built (4 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: Françoise | Statement: [My Night at Maud’s, mainCharacter, Françoise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Françoise
Context triple: [My Night at Maud’s, mainCharacter, Françoise]
  • A. Françoise
    Françoise is the given name of Louise de La Vallière, a 17th-century French noblewoman best known as a mistress of King Louis XIV.
  • B. Armande
    Armande is a French given name historically associated with figures in the performing arts, notably in 17th-century France.
  • C. Louisette Hautecoeur
    Louisette Hautecoeur was a French film editor known for her work on classic European cinema, including Luis Buñuel’s "Belle de Jour."
  • D. Bénédicte
    Bénédicte is the given name of Louise Bénédicte de Bourbon, a French noblewoman of the House of Bourbon.
  • E. Jeanne-Françoise
    Jeanne-Françoise is the given name of Juliette Récamier, the famed French socialite and salon hostess of the early 19th century.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Françoise
Triple: [My Night at Maud’s, mainCharacter, Françoise]
Generated description
Françoise is a central character in Éric Rohmer’s film "My Night at Maud’s," representing the devout, idealized young woman with whom the protagonist becomes romantically involved.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Françoise
Target entity description: Françoise is a central character in Éric Rohmer’s film "My Night at Maud’s," representing the devout, idealized young woman with whom the protagonist becomes romantically involved.
  • A. Françoise
    Françoise is the given name of Louise de La Vallière, a 17th-century French noblewoman best known as a mistress of King Louis XIV.
  • B. Armande
    Armande is a French given name historically associated with figures in the performing arts, notably in 17th-century France.
  • C. Louisette Hautecoeur
    Louisette Hautecoeur was a French film editor known for her work on classic European cinema, including Luis Buñuel’s "Belle de Jour."
  • D. Bénédicte
    Bénédicte is the given name of Louise Bénédicte de Bourbon, a French noblewoman of the House of Bourbon.
  • E. Jeanne-Françoise
    Jeanne-Françoise is the given name of Juliette Récamier, the famed French socialite and salon hostess of the early 19th century.
  • F. None of above. chosen

Provenance (5 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_69ca84e3f0c48190ada72a65ebd50efd completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb36156308190b26892702f3b41e0 completed April 2, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1e42edd98819092d07139890d83e4 completed April 5, 2026, 4:25 a.m.
NEDg Description generation batch_69d1e4e60f848190821f505ab6d3c5ca completed April 5, 2026, 4:28 a.m.
NED2 Entity disambiguation (via description) batch_69d1e5580e488190b75138551dd060ab completed April 5, 2026, 4:30 a.m.
Created at: March 30, 2026, 8:34 p.m.