Triple

T12859760
Position Surface form Disambiguated ID Type / Status
Subject Mary Magdalene (2018 film) E307552 entity
Predicate editedBy P1954 FINISHED
Object Alexandre de Franceschi 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: Alexandre de Franceschi | Statement: [Mary Magdalene (2018 film), editedBy, Alexandre de Franceschi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexandre de Franceschi
Context triple: [Mary Magdalene (2018 film), editedBy, Alexandre de Franceschi]
  • A. Alexandre de Franceschi chosen
    Alexandre de Franceschi is a film editor known for his work on the movie "Lion."
  • B. Frédéric Arnault
    Frédéric Arnault is a French business executive known for his leadership roles within the LVMH luxury group, particularly in its watch division.
  • C. François Dufrêne
    François Dufrêne was a French avant-garde poet and visual artist associated with sound poetry and experimental practices within the Nouveau Réalisme movement.
  • D. Nicolas Béhuchet
    Nicolas Béhuchet was a 14th-century French naval commander and royal official who played a leading role in early Hundred Years’ War sea campaigns.
  • E. Jean-Christophe Fromantin
    Jean-Christophe Fromantin is a French center-right politician and businessman known for serving as mayor of the affluent Paris suburb Neuilly-sur-Seine and for his involvement in national legislative 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_69d7bdf5e7cc8190be357278bc5ba3bb completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970242bd48190941cbae0315ebc3d completed April 10, 2026, 9:48 p.m.
Created at: April 9, 2026, 5:37 p.m.