Triple

T17547418
Position Surface form Disambiguated ID Type / Status
Subject Claude Gelée E427364 entity
Predicate name P16 FINISHED
Object Claude Gelée 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: Claude Gelée | Statement: [Claude Gelée, name, Claude Gelée]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Claude Gelée
Context triple: [Claude Gelée, name, Claude Gelée]
  • A. Claude Gelée chosen
    Claude Gelée, better known as Claude Lorrain, was a 17th-century French Baroque painter celebrated for his idealized, luminous landscape paintings that profoundly influenced European art.
  • B. Jean de Louvres
    Jean de Louvres was a 14th-century French architect best known for his major role in shaping the monumental Gothic complex of the Palais des Papes in Avignon.
  • C. Claude de Clermont
    Claude de Clermont was a French noblewoman of the 16th century, best known as the mother of the Huguenot noble and jousting champion Gabriel de Montgomery.
  • D. Jean-Antoine de Baïf
    Jean-Antoine de Baïf was a 16th-century French poet and member of the Pléiade group, known for his experiments with classical meters and efforts to reform French versification.
  • E. Claude Dauphin
    Claude Dauphin was a French actor known for his prolific film and stage career from the 1930s onward, often appearing in both French and international productions.
  • 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_69d889df6dc081908f67dbadc03c07ee completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e454626cfc8190a2602ba4934b8e6d completed April 19, 2026, 4:04 a.m.
Created at: April 10, 2026, 5:49 a.m.