Triple

T14850755
Position Surface form Disambiguated ID Type / Status
Subject Le Figaro E349219 entity
Predicate founder P104 FINISHED
Object Étienne Arago E764077 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: Étienne Arago | Statement: [Le Figaro, founder, Étienne Arago]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Étienne Arago
Context triple: [Le Figaro, founder, Étienne Arago]
  • A. Étienne Arago chosen
    Étienne Arago was a 19th-century French writer, journalist, and politician who notably served as director of the Paris Opera and briefly as mayor of Paris during the 1848 Revolution.
  • B. Jacques Arago
    Jacques Arago was a 19th-century French writer, artist, and explorer best known for his illustrated travel accounts and participation in global scientific voyages.
  • C. François Arago
    François Arago was a 19th-century French astronomer, physicist, and politician known for his work on the wave theory of light, electromagnetism, and for promoting science and republican ideals in France.
  • D. Jacques Babinet
    Jacques Babinet was a 19th-century French physicist and optician best known for his work on diffraction and for formulating Babinet's principle in wave optics.
  • E. Georges Peclet
    Georges Peclet was a French actor known for his roles in early 20th-century French cinema.
  • 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_69d822ed7e1881909b90fca143ad7e34 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded43eee188190bf24dc475b3abe28 completed April 14, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe6504ac6081908074231cf628fd39 completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:54 a.m.