Triple

T2854672
Position Surface form Disambiguated ID Type / Status
Subject La Cousine Bette E63171 entity
Predicate hasCharacter P2308 FINISHED
Object Adeline Hulot E305303 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: Adeline Hulot | Statement: [La Cousine Bette, hasCharacter, Adeline Hulot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adeline Hulot
Context triple: [La Cousine Bette, hasCharacter, Adeline Hulot]
  • A. Adeline Hulot chosen
    Adeline Hulot is a central character in Honoré de Balzac's novel "La Cousine Bette," known for her gentle, self-sacrificing nature amid the moral and social decay of her family.
  • B. Pierrette
    Pierrette is a French feminine given name, traditionally considered the female form of Pierre.
  • C. Marthe
    Marthe is a feminine given name, commonly used in French and other European languages, that is a variant of the name Martha.
  • D. Amélie Noellie Parayre
    Amélie Noellie Parayre was the wife and early business manager of French artist Henri Matisse, supporting his career and running his Parisian studio and gallery.
  • E. 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.
  • 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_69ab4c407c408190857d25e027155ce9 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf60852c8190b66c8719c63a723e completed March 7, 2026, 8:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69b055e0c8088190a0fa67c9c14fc29b completed March 10, 2026, 5:33 p.m.
Created at: March 6, 2026, 10:02 p.m.