Triple

T20067621
Position Surface form Disambiguated ID Type / Status
Subject Valère E499649 entity
Predicate appearsIn P795 FINISHED
Object Tartuffe 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: Tartuffe | Statement: [Valère, appearsIn, Tartuffe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tartuffe
Context triple: [Valère, appearsIn, Tartuffe]
  • A. Tartuffe chosen
    Tartuffe is a classic 17th-century French comedic play by Molière that satirizes religious hypocrisy through the story of a pious fraud who deceives a wealthy household.
  • B. TARTUFF
    TARTUFF is an annual open-air film festival in Tartu, Estonia, focusing on love-themed movies and related cultural events.
  • C. Les Précieuses ridicules
    Les Précieuses ridicules is a one-act satirical comedy by Molière that mocks the affected manners and pretentious language of Parisian salon society in the 17th century.
  • D. Le Malade imaginaire
    Le Malade imaginaire is a 1673 comedic play by Molière that satirizes hypochondria and the medical profession through the story of a wealthy, obsessively ill man.
  • E. Le Philinte de Molière
    Le Philinte de Molière is a French play by Fabre d’Églantine that serves as a sequel and critical response to Molière’s classic comedy Le Misanthrope.
  • 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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6637ac3fc8190911063b979c3afb8 completed April 20, 2026, 5:33 p.m.
Created at: April 11, 2026, 3:39 p.m.