Triple

T14268560
Position Surface form Disambiguated ID Type / Status
Subject Mathieu Froment E353715 entity
Predicate spouse P13 FINISHED
Object Marianne Froment
Marianne Froment is the wife of Canadian politician Mathieu Froment, known primarily in relation to his public and political life.
E1093645 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: Marianne Froment | Statement: [Mathieu Froment, spouse, Marianne Froment]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marianne Froment
Context triple: [Mathieu Froment, spouse, Marianne Froment]
  • A. Marianne Beauséjour
    Marianne Beauséjour is a French Resistance fighter and spy portrayed by Marion Cotillard in the World War II romantic thriller film "Allied."
  • B. Mathilde Bonnefoy
    Mathilde Bonnefoy is a German film editor and producer best known for her work on acclaimed documentaries and feature films, including the Oscar-winning "Citizenfour."
  • C. Marie Dubois
    Marie Dubois was a French actress best known for her roles in New Wave cinema, particularly in films directed by François Truffaut.
  • D. Fanny Malvaut
    Fanny Malvaut is a character in Honoré de Balzac’s novel "Gobseck," part of his La Comédie humaine cycle.
  • E. Marguerite Courtot
    Marguerite Courtot was an American silent film actress known for her work in early 20th-century cinema, particularly in serials and adventure films.
  • 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: Marianne Froment
Triple: [Mathieu Froment, spouse, Marianne Froment]
Generated description
Marianne Froment is the wife of Canadian politician Mathieu Froment, known primarily in relation to his public and political life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Marianne Froment
Target entity description: Marianne Froment is the wife of Canadian politician Mathieu Froment, known primarily in relation to his public and political life.
  • A. Marianne Beauséjour
    Marianne Beauséjour is a French Resistance fighter and spy portrayed by Marion Cotillard in the World War II romantic thriller film "Allied."
  • B. Mathilde Bonnefoy
    Mathilde Bonnefoy is a German film editor and producer best known for her work on acclaimed documentaries and feature films, including the Oscar-winning "Citizenfour."
  • C. Marie Dubois
    Marie Dubois was a French actress best known for her roles in New Wave cinema, particularly in films directed by François Truffaut.
  • D. Fanny Malvaut
    Fanny Malvaut is a character in Honoré de Balzac’s novel "Gobseck," part of his La Comédie humaine cycle.
  • E. Marguerite Courtot
    Marguerite Courtot was an American silent film actress known for her work in early 20th-century cinema, particularly in serials and adventure films.
  • 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de657fe6708190b41de48c43cff647 completed April 14, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd467d45c88190ac6ac280aa691591 completed May 8, 2026, 2:12 a.m.
NEDg Description generation batch_69fd4811e2808190b559d8348079ae8f completed May 8, 2026, 2:18 a.m.
NED2 Entity disambiguation (via description) batch_69fd48d827488190b4a494d4da64ba51 completed May 8, 2026, 2:22 a.m.
Created at: April 10, 2026, 1:10 a.m.