Triple

T18156566
Position Surface form Disambiguated ID Type / Status
Subject Anthony Noghès E434646 entity
Predicate name P16 FINISHED
Object Anthony Noghès 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: Anthony Noghès | Statement: [Anthony Noghès, name, Anthony Noghès]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anthony Noghès
Context triple: [Anthony Noghès, name, Anthony Noghès]
  • A. Anthony Noghès chosen
    Anthony Noghès is a famous tight right-hand corner on the Monaco Grand Prix street circuit, named after the founder of the race.
  • B. Bruno Piriou
    Bruno Piriou is a French left-wing politician known for serving as mayor of the Paris-region city of Corbeil-Essonnes.
  • C. Charles Noguès
    Charles Noguès was a French army general and colonial administrator who served as Resident-General in Morocco and later as the Vichy regime’s highest authority in North Africa during World War II.
  • D. Antoine Parra
    Antoine Parra is a French local politician who serves as the mayor of the coastal commune of Argelès-sur-Mer in southern France.
  • E. Jean-Claude Arnaud
    Jean-Claude Arnaud is an actor known for his role in the French drama film "I've Loved You So Long."
  • 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_69d8b90b7a188190b3fc7b8d4a6cd20a completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4debe27a88190bd76c6f78fcf1bd1 completed April 19, 2026, 1:55 p.m.
Created at: April 10, 2026, 10:30 a.m.