Triple

T16382675
Position Surface form Disambiguated ID Type / Status
Subject Gustave Boulanger E397846 entity
Predicate familyName P18 FINISHED
Object Boulanger E115887 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: Boulanger | Statement: [Gustave Boulanger, familyName, Boulanger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boulanger
Context triple: [Gustave Boulanger, familyName, Boulanger]
  • A. Boulanger chosen
    Boulanger is the French term for a baker, a person who professionally prepares and bakes bread and other baked goods.
  • B. Boulange
    Boulange is a small commune in northeastern France, located in the Moselle department within the Grand Est region.
  • C. Parmentier
    Parmentier is a Paris Métro station in the 11th arrondissement, named after the French agronomist Antoine-Augustin Parmentier and served by Line 3.
  • D. Taché
    Taché is a French-origin surname notably associated with Canadian political and architectural figure Eugène-Étienne Taché and other prominent members of Quebec society.
  • E. Saint-Honoré
    Saint-Honoré is a small municipality in the Saguenay–Lac-Saint-Jean region of Quebec, Canada, known for its rural character and proximity to the city of Saguenay.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e319ddcef08190a2081855b5cf6762 completed April 18, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00356b00408190beab51a23011be67 completed May 10, 2026, 7:36 a.m.
Created at: April 10, 2026, 5:08 a.m.