Triple

T13485141
Position Surface form Disambiguated ID Type / Status
Subject Jean Crotti E318477 entity
Predicate name P16 FINISHED
Object Jean Crotti E318477 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: Jean Crotti | Statement: [Jean Crotti, name, Jean Crotti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jean Crotti
Context triple: [Jean Crotti, name, Jean Crotti]
  • A. Jean Crotti chosen
    Jean Crotti was a Swiss-born French painter associated with early 20th-century avant-garde movements, particularly Dada and Orphism.
  • B. Jean Leonetti
    Jean Leonetti is a French politician and physician known for his work on end-of-life legislation and his long-standing role in center-right national politics.
  • C. Jean Arthuis
    Jean Arthuis is a French centrist politician and former finance minister known for his long career in national and European politics, including service as a Member of the European Parliament.
  • D. Jacques Cruppi
    Jacques Cruppi was a French lawyer, politician, and art patron active in the late 19th and early 20th centuries.
  • E. Michel Bizot
    Michel Bizot is a Paris Métro station in the 12th arrondissement, named after the 19th-century French general Michel Brice Bizot.
  • 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf3a15b48190b63fb59e926a97ae completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde15abe6c8190a6212861bbce790e completed May 8, 2026, 1:12 p.m.
Created at: April 9, 2026, 9:42 p.m.