Triple

T21824242
Position Surface form Disambiguated ID Type / Status
Subject Moll Flanders (1965 film) E538807 entity
Predicate starred P5563 FINISHED
Object Grégoire Aslan 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: Grégoire Aslan | Statement: [Moll Flanders (1965 film), starred, Grégoire Aslan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grégoire Aslan
Context triple: [Moll Flanders (1965 film), starred, Grégoire Aslan]
  • A. Grégoire Aslan chosen
    Grégoire Aslan was an Armenian-French character actor known for his supporting roles in mid-20th-century European and Hollywood films.
  • B. Grégory Doucet
    Grégory Doucet is a French Green Party politician who has served as the ecologist mayor of Lyon since 2020.
  • C. Grégory Marty
    Grégory Marty is a French local politician serving as the mayor of the Mediterranean port town of Port-Vendres.
  • D. Antoine Hennion
    Antoine Hennion is a French sociologist known for his influential work on the sociology of culture, music, and mediation.
  • E. Alain Jomy
    Alain Jomy is a French film composer and music critic known for his scores for European cinema, including collaborations on acclaimed French dramas.
  • 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_69e0c475038c8190abb9b1a20eb8ff50 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f091307d408190a92b65c3f39682a8 completed April 28, 2026, 10:51 a.m.
Created at: April 16, 2026, 6:54 p.m.