Triple

T17435123
Position Surface form Disambiguated ID Type / Status
Subject La Famille Bélier E423981 entity
Predicate editedBy P1954 FINISHED
Object Jennifer Augé
Jennifer Augé is a film editor known for her work on the French comedy-drama "La Famille Bélier."
E1275540 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: Jennifer Augé | Statement: [La Famille Bélier, editedBy, Jennifer Augé]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jennifer Augé
Context triple: [La Famille Bélier, editedBy, Jennifer Augé]
  • A. Corinne Jorry
    Corinne Jorry is a French costume designer renowned for her work on period films and collaborations with prominent European directors.
  • B. Jeannine Roussel
    Jeannine Roussel is a film producer best known for her work on Disney’s animated sequel "The Lion King II: Simba’s Pride."
  • C. Catherine Fournier
    Catherine Fournier is a Quebec politician who serves as the mayor of Longueuil and is known for being one of the youngest mayors of a major city in the province.
  • D. Jeannine Guillou
    Jeannine Guillou was a French painter and the first wife and close artistic companion of the Russian-born French artist Nicolas de Staël.
  • E. Anne Dewavrin
    Anne Dewavrin is a French socialite known primarily for her past marriage to billionaire businessman Bernard Arnault, the chairman and CEO of LVMH.
  • 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: Jennifer Augé
Triple: [La Famille Bélier, editedBy, Jennifer Augé]
Generated description
Jennifer Augé is a film editor known for her work on the French comedy-drama "La Famille Bélier."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jennifer Augé
Target entity description: Jennifer Augé is a film editor known for her work on the French comedy-drama "La Famille Bélier."
  • A. Corinne Jorry
    Corinne Jorry is a French costume designer renowned for her work on period films and collaborations with prominent European directors.
  • B. Jeannine Roussel
    Jeannine Roussel is a film producer best known for her work on Disney’s animated sequel "The Lion King II: Simba’s Pride."
  • C. Catherine Fournier
    Catherine Fournier is a Quebec politician who serves as the mayor of Longueuil and is known for being one of the youngest mayors of a major city in the province.
  • D. Jeannine Guillou
    Jeannine Guillou was a French painter and the first wife and close artistic companion of the Russian-born French artist Nicolas de Staël.
  • E. Anne Dewavrin
    Anne Dewavrin is a French socialite known primarily for her past marriage to billionaire businessman Bernard Arnault, the chairman and CEO of LVMH.
  • 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_69d889d88b6081908bada047f5b3ba51 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4490361c081908fd24f9a812f212c completed April 19, 2026, 3:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01d27c7b948190a6c6ea09688bd3c1 completed May 11, 2026, 12:58 p.m.
NEDg Description generation batch_6a01d4436b448190bff8710eac0ce569 completed May 11, 2026, 1:06 p.m.
NED2 Entity disambiguation (via description) batch_6a01d49cb9c081908b07b87ec3b2a133 completed May 11, 2026, 1:07 p.m.
Created at: April 10, 2026, 5:46 a.m.