Triple

T8871220
Position Surface form Disambiguated ID Type / Status
Subject Odilon Barrot E211159 entity
Predicate givenName P17 FINISHED
Object Odilon E203545 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: Odilon | Statement: [Odilon Barrot, givenName, Odilon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Odilon
Context triple: [Odilon Barrot, givenName, Odilon]
  • A. Odilon chosen
    Odilon is the nickname of Odilon Redon, a French Symbolist painter and printmaker known for his dreamlike, often fantastical imagery.
  • B. René
    René is a French given name commonly used for males and historically associated with several notable figures in politics, arts, and philosophy.
  • C. Tanguy
    Tanguy is a French surname most notably associated with Yves Tanguy, a prominent 20th-century Surrealist painter.
  • D. Marcelin
    Marcelin is a French diminutive form of the given name Marcel, often used as an affectionate or familiar variant.
  • E. Firmin
    Firmin is a French given name notably borne by Firmin Didot, a renowned printer, typefounder, and member of the influential Didot family in the history of typography.
  • 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_69ca838d3c7c8190a849566d5afd2b11 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6126d2f88190979ab25772ee657c completed April 1, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc92c2f088190b953de2bfcbb5bb5 completed April 3, 2026, 2:05 p.m.
Created at: March 30, 2026, 6:51 p.m.