Triple

T19098262
Position Surface form Disambiguated ID Type / Status
Subject Samuel Benchetrit E467462 entity
Predicate spouse P13 FINISHED
Object Anna Mouglalis 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: Anna Mouglalis | Statement: [Samuel Benchetrit, spouse, Anna Mouglalis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anna Mouglalis
Context triple: [Samuel Benchetrit, spouse, Anna Mouglalis]
  • A. Anna Mouglalis chosen
    Anna Mouglalis is a French actress and former Chanel muse known for her intense screen presence and roles in European art-house and crime films.
  • B. Marcelle Hainia
    Marcelle Hainia was a French actress known for her role in the classic 1932 film "Boudu Saved from Drowning."
  • C. Anaïs Demoustier
    Anaïs Demoustier is a French actress known for her versatile performances in contemporary French cinema, including prominent roles in both independent and mainstream films.
  • D. Sylvia Maklès
    Sylvia Maklès was a French actress and intellectual figure associated with the avant-garde literary milieu of the early 20th century.
  • E. Laure Martinozzi
    Laure Martinozzi was an Italian-born noblewoman and niece of Cardinal Mazarin who became Duchess of Modena and an influential figure in 17th-century European court politics.
  • 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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e36b279c819091a8d51f044bc644 completed April 20, 2026, 8:27 a.m.
Created at: April 10, 2026, 12:04 p.m.