Triple

T12591949
Position Surface form Disambiguated ID Type / Status
Subject Monsieur, the King’s brother E300627 entity
Predicate styleOfAddress P536 FINISHED
Object Monsieur E356694 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: Monsieur | Statement: [Monsieur, the King’s brother, styleOfAddress, Monsieur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Monsieur
Context triple: [Monsieur, the King’s brother, styleOfAddress, Monsieur]
  • A. Monsieur chosen
    Monsieur was the traditional honorific title used at the French court for Philippe I, Duke of Orléans, the younger brother of King Louis XIV.
  • B. Monsieur Bonacieux
    Monsieur Bonacieux is a minor but pivotal character in Alexandre Dumas' novel "The Three Musketeers," known as Constance Bonacieux's older, miserly husband and d'Artagnan's landlord in Paris.
  • C. Monsieur Vabre
    Monsieur Vabre is a fictional bourgeois Parisian property owner in Émile Zola’s novel "Pot-Bouille," embodying the hypocrisies and moral decay of the 19th-century middle class.
  • D. Monsieur D’Olive
    Monsieur D’Olive is a Jacobean-era comedy play by George Chapman, known for its witty satire of courtly manners and affectation.
  • E. Monsieur Pain
    Monsieur Pain is a novella by Chilean author Roberto Bolaño that blends historical fiction and surreal mystery around a mesmerist in 1930s Paris.
  • 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954cc6d3c81908fbb22601c46f3f7 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ec2dac88190bf31bb00f93feb30 completed May 2, 2026, 8:29 p.m.
Created at: April 9, 2026, 5:07 p.m.