Triple

T13910127
Position Surface form Disambiguated ID Type / Status
Subject Stephanie Labbé E334468 entity
Predicate familyName P18 FINISHED
Object Labbé
Labbé is a French-origin surname borne by various notable individuals, including Canadian Olympic soccer goalkeeper Stephanie Labbé.
E1067151 NE FINISHED

How this triple was built (4 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: Labbé | Statement: [Stephanie Labbé, familyName, Labbé]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Labbé
Context triple: [Stephanie Labbé, familyName, Labbé]
  • A. Marcelin
    Marcelin is a French diminutive form of the given name Marcel, often used as an affectionate or familiar variant.
  • B. Béraud
    Béraud is a French surname most notably associated with the 19th-century painter Jean Béraud, renowned for his vivid depictions of Parisian life during the Belle Époque.
  • C. Lardé
    Lardé is the surname of Alicia Esther Lardé, a Salvadoran-born physicist and the first wife of mathematician John Nash.
  • D. Marcellin
    Marcellin is a masculine given name most notably borne by Saint Marcellin Champagnat, the French priest who founded the Marist Brothers.
  • E. Peccot
    Peccot is the namesake of the prestigious French mathematical distinction and lecture series known as the Prix Peccot-Vimont at the Collège de France.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Labbé
Triple: [Stephanie Labbé, familyName, Labbé]
Generated description
Labbé is a French-origin surname borne by various notable individuals, including Canadian Olympic soccer goalkeeper Stephanie Labbé.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Labbé
Target entity description: Labbé is a French-origin surname borne by various notable individuals, including Canadian Olympic soccer goalkeeper Stephanie Labbé.
  • A. Marcelin
    Marcelin is a French diminutive form of the given name Marcel, often used as an affectionate or familiar variant.
  • B. Béraud
    Béraud is a French surname most notably associated with the 19th-century painter Jean Béraud, renowned for his vivid depictions of Parisian life during the Belle Époque.
  • C. Lardé
    Lardé is the surname of Alicia Esther Lardé, a Salvadoran-born physicist and the first wife of mathematician John Nash.
  • D. Marcellin
    Marcellin is a masculine given name most notably borne by Saint Marcellin Champagnat, the French priest who founded the Marist Brothers.
  • E. Peccot
    Peccot is the namesake of the prestigious French mathematical distinction and lecture series known as the Prix Peccot-Vimont at the Collège de France.
  • F. None of above. chosen

Provenance (5 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_69d81c5eaa9c819083b1ff8689179565 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2723461881908376b5509ee0d530 completed April 14, 2026, 11:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c72879e48190ac01d0a2023b098c completed May 3, 2026, 10:07 p.m.
NEDg Description generation batch_69f7c7b9e4888190822501d439df142a completed May 3, 2026, 10:10 p.m.
NED2 Entity disambiguation (via description) batch_69f7c83e31d4819094209406fc99456a completed May 3, 2026, 10:12 p.m.
Created at: April 9, 2026, 10:16 p.m.