Triple

T3111090
Position Surface form Disambiguated ID Type / Status
Subject Scènes de la vie parisienne E64951 entity
Predicate hasPart P35 FINISHED
Object Sarrasine E310109 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: Sarrasine | Statement: [Scènes de la vie parisienne, hasPart, Sarrasine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarrasine
Context triple: [Scènes de la vie parisienne, hasPart, Sarrasine]
  • A. Sarrasine chosen
    Sarrasine is a novella by Honoré de Balzac that explores themes of art, gender, and obsession through the story of a French sculptor’s infatuation with a castrato singer in Rome.
  • B. Les Preuses
    Les Preuses is one of the prestigious Grand Cru vineyard sites in Chablis, renowned for producing complex, age-worthy Chardonnay wines.
  • C. The Lady of Lyons
    The Lady of Lyons is a popular 1838 romantic melodrama by Edward Bulwer-Lytton, centered on love, pride, and social class in post-Napoleonic France.
  • D. The Queen of Shemakha
    The Queen of Shemakha is a seductive and enigmatic royal figure from Rimsky-Korsakov’s opera "The Golden Cockerel," whose allure and manipulation drive the story’s tragic events.
  • E. La Bérarde
    La Bérarde is a small alpine hamlet in the French Alps, known as a base for mountaineering and hiking in the Écrins massif.
  • 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_69ad857eeaf48190b34ebfdaa7a264cf completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada43954f0819096a96331bf3c53a8 completed March 8, 2026, 4:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20394a8cc8190b114760079f8b0f6 completed March 12, 2026, 12:06 a.m.
Created at: March 8, 2026, 3:04 p.m.