Triple

T23240915
Position Surface form Disambiguated ID Type / Status
Subject Eugène Jost E581438 entity
Predicate name P16 FINISHED
Object Eugène Jost 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: Eugène Jost | Statement: [Eugène Jost, name, Eugène Jost]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eugène Jost
Context triple: [Eugène Jost, name, Eugène Jost]
  • A. Eugène Jost chosen
    Eugène Jost was a Swiss architect of the late 19th and early 20th centuries, known for his prominent public and cultural buildings in Switzerland.
  • B. Gustav Thöni
    Gustav Thöni is an Italian former alpine ski racer, widely regarded as one of the sport’s greats of the 1970s, known for multiple World Cup titles and Olympic success.
  • C. Paul Niggli
    Paul Niggli was a Swiss crystallographer and mineralogist renowned for his pioneering work in crystal structure analysis and the development of space group theory.
  • D. Paul Sarossy
    Paul Sarossy is a Canadian cinematographer known for his frequent collaborations with director Atom Egoyan and his work on numerous acclaimed films and television projects.
  • E. Francis Clivaz
    Francis Clivaz is a Swiss educator best known for establishing the international private school Collège du Léman near Geneva.
  • 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_69e2460556f88190be1744a84a84173f completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f192edd974819093a57456e7b12a03 completed April 29, 2026, 5:11 a.m.
Created at: April 17, 2026, 4:10 p.m.