Triple

T7872405
Position Surface form Disambiguated ID Type / Status
Subject Aimable E182768 entity
Predicate usedBy P260 FINISHED
Object Aimable Pélissier E34704 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: Aimable Pélissier | Statement: [Aimable, usedBy, Aimable Pélissier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aimable Pélissier
Context triple: [Aimable, usedBy, Aimable Pélissier]
  • A. Aimable Pélissier chosen
    Aimable Pélissier was a 19th-century French marshal and military commander best known for his leadership in key campaigns of the Crimean War.
  • B. Jules Baroche
    Jules Baroche was a 19th-century French lawyer and statesman who played a prominent role during the Second French Empire, notably as a close supporter of Napoleon III.
  • C. Charles Despiau
    Charles Despiau was a French sculptor known for his refined, classical portrait busts and his role in the early 20th-century Parisian art scene.
  • D. Raoul Rigault
    Raoul Rigault was a radical French journalist and revolutionary best known as the zealous head of police and prominent figure in the 1871 Paris Commune.
  • E. Aimé Sauffroy
    Aimé Sauffroy was a French architect known for overseeing the reconstruction of the historic Théâtre de la Porte Saint-Martin in Paris.
  • 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_69ca82894d9081908a832bfce71a4714 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb39a6d93881908d68386e49bea1e3 completed March 31, 2026, 3:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbdbcede08190af889a5228de01f5 completed April 1, 2026, 6:39 a.m.
Created at: March 30, 2026, 4:56 p.m.