Triple

T20098718
Position Surface form Disambiguated ID Type / Status
Subject Lycée Lakanal E496475 entity
Predicate namedAfter P63 FINISHED
Object Joseph Lakanal 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: Joseph Lakanal | Statement: [Lycée Lakanal, namedAfter, Joseph Lakanal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joseph Lakanal
Context triple: [Lycée Lakanal, namedAfter, Joseph Lakanal]
  • A. Joseph Lakanal chosen
    Joseph Lakanal was a French revolutionary politician and educational reformer best known for helping to design and implement France’s modern public education system during the Revolution.
  • B. Léon Marchal
    Léon Marchal was a French diplomat who served as Secretary General of the Council of Europe during the early years of European postwar integration.
  • C. Jean-Claude Rivierre
    Jean-Claude Rivierre was a French linguist known for his extensive phonological and descriptive work on Kanak languages of New Caledonia, including Paicî.
  • D. Georges Lacombe
    Georges Lacombe was a French Post-Impressionist painter and sculptor associated with the Nabi group, known for his symbolist and decorative style.
  • E. Jean-Claude Villemain
    Jean-Claude Villemain is a French local politician who serves as the mayor of the city of Creil in northern France.
  • 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_69da626eee3881909f3454986d4a6511 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6666e306c81909c0ef617e0f6fccf completed April 20, 2026, 5:46 p.m.
Created at: April 11, 2026, 11:25 p.m.