Triple

T10550259
Position Surface form Disambiguated ID Type / Status
Subject Nicolas Bourbaki E248928 entity
Predicate hasMember P10 FINISHED
Object Jean Delsarte E671750 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 Delsarte | Statement: [Nicolas Bourbaki, hasMember, Jean Delsarte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jean Delsarte
Context triple: [Nicolas Bourbaki, hasMember, Jean Delsarte]
  • A. Jean Delsarte chosen
    Jean Delsarte was a French mathematician known for his contributions to harmonic analysis, functional analysis, and his involvement with the influential Bourbaki group.
  • B. Aimée Delsarte
    Aimée Delsarte was the mother of the renowned French Romantic composer Georges Bizet.
  • C. Jean Dorat
    Jean Dorat was a 16th-century French humanist scholar and poet, renowned as a leading figure of the Pléiade and an influential teacher of major Renaissance poets.
  • D. Gustave Charpentier
    Gustave Charpentier was a French composer best known for his opera "Louise," a landmark work of verismo in French music.
  • E. Léopold Morice
    Léopold Morice was a French sculptor best known for creating major public monuments in Paris during the late 19th century.
  • 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d526d3e45c819099b360f9cfd3dd50 completed April 7, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69d934639b3481908204db41101132c3 completed April 10, 2026, 5:33 p.m.
Created at: April 6, 2026, 12:34 p.m.