Triple

T21033868
Position Surface form Disambiguated ID Type / Status
Subject Lycée Fénelon E518135 entity
Predicate hasNotableAlumni P51 FINISHED
Object Julien Gracq 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: Julien Gracq | Statement: [Lycée Fénelon, hasNotableAlumni, Julien Gracq]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Julien Gracq
Context triple: [Lycée Fénelon, hasNotableAlumni, Julien Gracq]
  • A. Julien Gracq chosen
    Julien Gracq was a French writer and critic known for his dreamlike, surrealist-influenced novels and essays that blurred the boundaries between reality and imagination.
  • B. Sébastien Japrisot
    Sébastien Japrisot was a French novelist, screenwriter, and director known for his intricate crime and war stories, several of which were adapted into acclaimed films.
  • C. Jean Tournier
    Jean Tournier was a French cinematographer known for his work on notable films including the political thriller "The Day of the Jackal."
  • D. Jean Echenoz
    Jean Echenoz is a contemporary French novelist known for his inventive, witty narratives and acclaimed works such as "Cherokee," "I'm Gone," and "Ravel."
  • E. Michel Tournier
    Michel Tournier was a renowned French writer and intellectual, best known for his philosophical novels and his influential role in promoting photography and visual culture.
  • 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_69e0b503275c8190afd9a163f997c709 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc84b4ac8190bcee5fbba730b499 completed April 21, 2026, 4:26 a.m.
Created at: April 16, 2026, 2 p.m.