Triple

T11787571
Position Surface form Disambiguated ID Type / Status
Subject Raymond Peynet E280309 entity
Predicate name P16 FINISHED
Object Raymond Peynet E280309 NE FINISHED

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: Raymond Peynet | Statement: [Raymond Peynet, name, Raymond Peynet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raymond Peynet
Context triple: [Raymond Peynet, name, Raymond Peynet]
  • A. Raymond Peynet chosen
    Raymond Peynet was a French illustrator best known for his romantic "lovers" characters, which became iconic in mid-20th-century French popular culture.
  • B. Raymond Février
    Raymond Février was a French architect best known for co-designing Madrid’s iconic Beaux-Arts style Edificio Metrópolis in the early 20th century.
  • C. René Guiette
    René Guiette was a Belgian painter and art critic associated with modernist movements in the early 20th century.
  • D. Alain Chevalier
    Alain Chevalier was a French businessman best known as a co-founder and early architect of the luxury goods conglomerate LVMH.
  • E. Adolphe Billault
    Adolphe Billault was a 19th-century French lawyer and politician who became a prominent statesman during the Second French Empire.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a586803481909af0032c35ca6e51 completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f684c71548819081af6734b8b7279a completed May 2, 2026, 11:12 p.m.
Created at: April 8, 2026, 9:42 p.m.