Triple

T18710522
Position Surface form Disambiguated ID Type / Status
Subject The Voices E457495 entity
Predicate hasEditor P1954 FINISHED
Object Stéphane Roche 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: Stéphane Roche | Statement: [The Voices, hasEditor, Stéphane Roche]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stéphane Roche
Context triple: [The Voices, hasEditor, Stéphane Roche]
  • A. Stéphane Roche chosen
    Stéphane Roche is an editor known for his work on the publication "The Voices."
  • B. Fabien Pelous
    Fabien Pelous is a former French rugby union lock who captained the national team and became one of its most-capped players, achieving major success with both France and Stade Toulousain.
  • C. Christophe Fouquet
    Christophe Fouquet is a French business executive and semiconductor industry leader who serves as the chief executive officer of Dutch lithography equipment manufacturer ASML.
  • D. Arnaud Péricard
    Arnaud Péricard is a French politician and lawyer known for serving as the mayor of the affluent Parisian suburb of Saint-Germain-en-Laye.
  • E. Jean-Pierre Fourcade
    Jean-Pierre Fourcade is a French politician and former finance minister known for his long career in center-right politics and leadership roles in both national and local government.
  • 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_69d8d392aad081909fe31aa03e6e97d1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5671b34508190b6180f7d6ad50a58 completed April 19, 2026, 11:36 p.m.
Created at: April 10, 2026, 11:50 a.m.