Triple

T21092701
Position Surface form Disambiguated ID Type / Status
Subject Bienvenue chez les Ch’tis E519674 entity
Predicate castMember P1668 FINISHED
Object Anne Marivin
Anne Marivin is a French actress known for her roles in popular comedies and dramas in French cinema and television.
E1474042 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: Anne Marivin | Statement: [Bienvenue chez les Ch’tis, castMember, Anne Marivin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anne Marivin
Context triple: [Bienvenue chez les Ch’tis, castMember, Anne Marivin]
  • A. Antoinette Valente
    Antoinette Valente is an actress known for appearing in the romantic comedy film "The Truth About Cats & Dogs."
  • B. Annmarie Morais
    Annmarie Morais is a Canadian screenwriter known for her work on the dance drama film "How She Move" and other film and television projects.
  • C. Marlene Mathias
    Marlene Mathias is known as the daughter of American Olympic decathlon champion and politician Bob Mathias.
  • D. Vivian Alamain
    Vivian Alamain is a scheming, aristocratic villainess from the soap opera "Days of Our Lives," known for her elaborate plots, rivalries, and dramatic romantic entanglements.
  • E. Anne Alvaro
    Anne Alvaro is a French actress acclaimed for her work in film, theatre, and television, noted for her nuanced character roles and multiple prestigious awards.
  • 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: Anne Marivin
Triple: [Bienvenue chez les Ch’tis, castMember, Anne Marivin]
Generated description
Anne Marivin is a French actress known for her roles in popular comedies and dramas in French cinema and television.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Anne Marivin
Target entity description: Anne Marivin is a French actress known for her roles in popular comedies and dramas in French cinema and television.
  • A. Antoinette Valente
    Antoinette Valente is an actress known for appearing in the romantic comedy film "The Truth About Cats & Dogs."
  • B. Annmarie Morais
    Annmarie Morais is a Canadian screenwriter known for her work on the dance drama film "How She Move" and other film and television projects.
  • C. Marlene Mathias
    Marlene Mathias is known as the daughter of American Olympic decathlon champion and politician Bob Mathias.
  • D. Vivian Alamain
    Vivian Alamain is a scheming, aristocratic villainess from the soap opera "Days of Our Lives," known for her elaborate plots, rivalries, and dramatic romantic entanglements.
  • E. Anne Alvaro
    Anne Alvaro is a French actress acclaimed for her work in film, theatre, and television, noted for her nuanced character roles and multiple prestigious awards.
  • 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_69e0b507dd9081908fb8bfcbef4c8b46 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e70950a31c8190bde2d7b414c362c7 completed April 21, 2026, 5:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a098fe417548190ae9be3aef60c8b0a completed May 17, 2026, 9:52 a.m.
NEDg Description generation batch_6a09906da6dc8190a2bdd998d61c583d completed May 17, 2026, 9:54 a.m.
NED2 Entity disambiguation (via description) batch_6a0990d98e6881909c6825844b240de4 completed May 17, 2026, 9:56 a.m.
Created at: April 16, 2026, 2:51 p.m.