Triple

T11236443
Position Surface form Disambiguated ID Type / Status
Subject Hana Magimel E265952 entity
Predicate father P120 FINISHED
Object Benoît Magimel
Benoît Magimel is a French actor known for his acclaimed performances in films such as "The Piano Teacher" and "La Haine."
 E913227 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: Benoît Magimel | Statement: [Hana Magimel, father, Benoît Magimel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Benoît Magimel
Context triple: [Hana Magimel, father, Benoît Magimel]
  • A. Philippe Sureau
    Philippe Sureau is a Canadian businessman best known as a co-founder of the leisure airline Air Transat.
  • B. Fabrice Du Welz
    Fabrice Du Welz is a Belgian film director and screenwriter known for his dark, atmospheric genre films such as "Calvaire," "Vinyan," and "Alleluia."
  • C. Philippe Quentin
    Philippe Quentin is a distinguished physicist recognized for his significant contributions to nuclear physics, honored as a laureate of the prestigious Lise Meitner Prize.
  • D. Raoul Meyer
    Raoul Meyer is a Swiss race car driver and businessman best known for his high-profile marriage to actress and model Brigitte Nielsen.
  • E. Jérôme Garcès
    Jérôme Garcès is a French rugby union referee who officiated at the highest international level, including multiple Rugby World Cups.
  • 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: Benoît Magimel
Triple: [Hana Magimel, father, Benoît Magimel]
Generated description
Benoît Magimel is a French actor known for his acclaimed performances in films such as "The Piano Teacher" and "La Haine."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Benoît Magimel
Target entity description: Benoît Magimel is a French actor known for his acclaimed performances in films such as "The Piano Teacher" and "La Haine."
  • A. Philippe Sureau
    Philippe Sureau is a Canadian businessman best known as a co-founder of the leisure airline Air Transat.
  • B. Fabrice Du Welz
    Fabrice Du Welz is a Belgian film director and screenwriter known for his dark, atmospheric genre films such as "Calvaire," "Vinyan," and "Alleluia."
  • C. Philippe Quentin
    Philippe Quentin is a distinguished physicist recognized for his significant contributions to nuclear physics, honored as a laureate of the prestigious Lise Meitner Prize.
  • D. Raoul Meyer
    Raoul Meyer is a Swiss race car driver and businessman best known for his high-profile marriage to actress and model Brigitte Nielsen.
  • E. Jérôme Garcès
    Jérôme Garcès is a French rugby union referee who officiated at the highest international level, including multiple Rugby World Cups.
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e904cf888190826fc964f76b5cb2 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ad6308f8819085652d6c529ac821 completed April 19, 2026, 10:24 a.m.
NEDg Description generation batch_69e4b12dd658819085c25d3edac2d66c completed April 19, 2026, 10:40 a.m.
NED2 Entity disambiguation (via description) batch_69e4b3e05b488190bf2e3810ba2f250e completed April 19, 2026, 10:52 a.m.
Created at: April 8, 2026, 9:30 p.m.