Triple

T20885041
Position Surface form Disambiguated ID Type / Status
Subject linear logic E514255 entity
Predicate creator P184 FINISHED
Object Jean-Yves Girard 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: Jean-Yves Girard | Statement: [linear logic, creator, Jean-Yves Girard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jean-Yves Girard
Context triple: [linear logic, creator, Jean-Yves Girard]
  • A. Jean-Yves Girard chosen
    Jean-Yves Girard is a French logician and mathematician renowned for founding linear logic and making influential contributions to proof theory and the foundations of mathematics.
  • B. Gilles Dowek
    Gilles Dowek is a French logician and computer scientist known for his influential work in proof theory, type systems, and automated deduction.
  • C. Dana Scott
    Dana Scott is an American logician and mathematician renowned for his foundational work in domain theory, model theory, and the semantics of programming languages, for which he received the Turing Award.
  • D. Gerhard Gentzen
    Gerhard Gentzen was a German mathematician and logician best known for founding structural proof theory and introducing natural deduction and sequent calculus.
  • E. Olivier Marchal
    Olivier Marchal is a French filmmaker, screenwriter, and former police officer known for his gritty crime dramas in film and television.
  • 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_69e0b4f733f081908a401c0b7beb0b9f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c67c9d1c81908031eb77c124f119 completed April 21, 2026, 12:36 a.m.
Created at: April 16, 2026, 12:46 p.m.