Triple

T21474062
Position Surface form Disambiguated ID Type / Status
Subject La Jalousie E529806 entity
Predicate mainCharacter P1183 FINISHED
Object Franck 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: Franck | Statement: [La Jalousie, mainCharacter, Franck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Franck
Context triple: [La Jalousie, mainCharacter, Franck]
  • A. Franck
    Franck is a surname most notably associated with James Franck, the German physicist and Nobel laureate recognized for the Franck–Hertz experiment.
  • B. Franck chosen
    Franck is a masculine given name of French origin commonly used in Francophone countries.
  • C. Franck Langolff
    Franck Langolff was a French composer and songwriter best known for crafting numerous pop hits in the 1980s and 1990s, particularly for singer Vanessa Paradis.
  • D. Guy-Blaché
    Guy-Blaché is the surname of pioneering French filmmaker Alice Guy-Blaché, one of the first female directors and early innovators in narrative cinema.
  • E. Marcel Fournier
    Marcel Fournier was a French businessman best known as a co-founder of the multinational retail corporation Carrefour, a pioneer of the modern hypermarket concept.
  • 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_69e0c459acb481909bb6ee452a0045c7 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea1650788190bd55ebdbf1dfc46f completed April 23, 2026, 9:44 a.m.
Created at: April 16, 2026, 6:19 p.m.