Triple

T19190661
Position Surface form Disambiguated ID Type / Status
Subject Nikita Magaloff E469826 entity
Predicate notableStudent P4838 FINISHED
Object Jean-Marc Luisada 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: Jean-Marc Luisada | Statement: [Nikita Magaloff, notableStudent, Jean-Marc Luisada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jean-Marc Luisada
Context triple: [Nikita Magaloff, notableStudent, Jean-Marc Luisada]
  • A. Jean-Marc Luisada chosen
    Jean-Marc Luisada is a French classical pianist renowned for his poetic interpretations of Chopin and other Romantic repertoire.
  • B. Juan Croucier
    Juan Croucier is an American bassist and songwriter best known as a longtime member of the glam metal band Ratt.
  • C. Pascal Obispo
    Pascal Obispo is a French pop singer-songwriter and composer known for his successful solo career and for writing hits for many prominent Francophone artists.
  • D. Pierre Azaria
    Pierre Azaria was a French entrepreneur best known for founding the telecommunications company Alcatel.
  • E. Emmanuel Héré
    Emmanuel Héré was an 18th-century French architect best known for his influential work in Nancy, where he helped shape some of the finest examples of French classical urban design.
  • 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_69d8dd0ad9088190a173b32657ae2e7a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f8a16e20819080baa5112f000b41 completed April 20, 2026, 9:57 a.m.
Created at: April 10, 2026, 12:07 p.m.