Triple

T22274119
Position Surface form Disambiguated ID Type / Status
Subject Cours Simon E550556 entity
Predicate namedAfter P63 FINISHED
Object René Simon 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: René Simon | Statement: [Cours Simon, namedAfter, René Simon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: René Simon
Context triple: [Cours Simon, namedAfter, René Simon]
  • A. René Simon chosen
    René Simon was a renowned French acting teacher and director who founded the influential Parisian drama school Cours Simon, which trained many prominent actors.
  • B. André Hermant
    André Hermant was a 20th-century French architect known for his modernist designs and contributions to museum and cultural architecture in France.
  • C. Simon Hantaï
    Simon Hantaï was a Hungarian-French abstract painter known for his innovative "pliage" (folding) technique and significant influence on postwar European art.
  • D. Alexander Villoing
    Alexander Villoing was a 19th-century Russian pianist and influential music teacher known for mentoring prominent musicians such as Nikolai Rubinstein.
  • E. André Remondet
    André Remondet was a French architect known for designing prominent diplomatic and institutional buildings, including the French Embassy in Washington, D.C.
  • 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_69e11e43d8208190aff4f9cf7f2c2a8a completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f14ea547e4819098baf88f3c605242 completed April 29, 2026, 12:19 a.m.
Created at: April 16, 2026, 8:40 p.m.