Triple

T12686142
Position Surface form Disambiguated ID Type / Status
Subject Polisse E303071 entity
Predicate starring P1507 FINISHED
Object Karole Rocher E878226 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: Karole Rocher | Statement: [Polisse, starring, Karole Rocher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karole Rocher
Context triple: [Polisse, starring, Karole Rocher]
  • A. Karole Rocher chosen
    Karole Rocher is a French actress known for her gritty, intense performances in film and television, particularly in crime and drama series.
  • B. Simone Veil
    Simone Veil was a prominent French magistrate, Holocaust survivor, and stateswoman best known for championing the legalization of abortion in France and serving as the first female President of the European Parliament.
  • C. Nathalie Cresson
    Nathalie Cresson is the daughter of Édith Cresson, the former Prime Minister of France.
  • D. Valérie Létard
    Valérie Létard is a French centrist politician who has served in various governmental and parliamentary roles, notably in social and environmental policy.
  • E. Mazarine Pingeot
    Mazarine Pingeot is a French writer, academic, and television commentator who became publicly known in the 1990s as the once-secret daughter of former French president François Mitterrand.
  • 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_69d7bdee64a08190801c6d470aefd723 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961d7cd4c81909521839ef5859799 completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684e2292c8190bffb3a8b6e15029c completed May 2, 2026, 11:12 p.m.
Created at: April 9, 2026, 5:21 p.m.