Triple

T5243716
Position Surface form Disambiguated ID Type / Status
Subject L’Avare E118406 entity
Predicate character P662 FINISHED
Object Mariane E499648 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: Mariane | Statement: [L’Avare, character, Mariane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mariane
Context triple: [L’Avare, character, Mariane]
  • A. Mariane chosen
    Mariane is a character in Molière’s comedy "Tartuffe," known as Orgon’s dutiful daughter who is unwillingly promised in marriage to the hypocrite Tartuffe.
  • B. Manon
    Manon is a full-length romantic ballet choreographed by Kenneth MacMillan, based on the Abbé Prévost novel "Manon Lescaut" and renowned for its dramatic intensity and demanding lead roles.
  • C. Marie Rose Clary
    Marie Rose Clary was a member of the Clary family connected to Napoleonic-era European nobility, known primarily as the sister of Julie Clary, who became Queen of Spain and Naples.
  • D. Juliette
    Juliette is a feminine given name of French origin, widely used in many countries and popularized through literature and film.
  • 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_69bd4468aacc8190a8196f71855cdf4f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b4da7308190856cdcee9cca41eb completed March 20, 2026, 4:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef82f2738819080c5a0963f6dbbb0 completed March 21, 2026, 7:57 p.m.
Created at: March 20, 2026, 1:49 p.m.