Triple

T12686135
Position Surface form Disambiguated ID Type / Status
Subject Polisse E303071 entity
Predicate starring P1507 FINISHED
Object Marina Foïs
Marina Foïs is a French actress known for her versatile performances in film, television, and theater, and for being a prominent figure in contemporary French cinema.
E1003896 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: Marina Foïs | Statement: [Polisse, starring, Marina Foïs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marina Foïs
Context triple: [Polisse, starring, Marina Foïs]
  • A. Béatrice Dalle
    Béatrice Dalle is a French actress known for her intense, unconventional screen presence and breakout role in the 1986 film "Betty Blue."
  • B. Nathalie Delon
    Nathalie Delon was a French actress and writer, best known for her role in the film "Le Samouraï" and her marriage to actor Alain Delon.
  • C. Mireille Soria
    Mireille Soria is a film producer best known for her work on major animated features at DreamWorks Animation.
  • D. Sandrine Kiberlain
    Sandrine Kiberlain is a French actress and singer known for her acclaimed performances in both dramatic and comedic films.
  • E. Françoise Fabian
    Françoise Fabian is a French actress renowned for her work in auteur cinema, particularly in the films of the French New Wave and European art-house directors.
  • 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: Marina Foïs
Triple: [Polisse, starring, Marina Foïs]
Generated description
Marina Foïs is a French actress known for her versatile performances in film, television, and theater, and for being a prominent figure in contemporary French cinema.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Marina Foïs
Target entity description: Marina Foïs is a French actress known for her versatile performances in film, television, and theater, and for being a prominent figure in contemporary French cinema.
  • A. Béatrice Dalle
    Béatrice Dalle is a French actress known for her intense, unconventional screen presence and breakout role in the 1986 film "Betty Blue."
  • B. Nathalie Delon
    Nathalie Delon was a French actress and writer, best known for her role in the film "Le Samouraï" and her marriage to actor Alain Delon.
  • C. Mireille Soria
    Mireille Soria is a film producer best known for her work on major animated features at DreamWorks Animation.
  • D. Sandrine Kiberlain
    Sandrine Kiberlain is a French actress and singer known for her acclaimed performances in both dramatic and comedic films.
  • E. Françoise Fabian
    Françoise Fabian is a French actress renowned for her work in auteur cinema, particularly in the films of the French New Wave and European art-house directors.
  • 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_69d7bdee64a08190801c6d470aefd723 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961d7cd4c81909521839ef5859799 completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68eafd4f8819083f20d142e9115ae completed May 2, 2026, 11:54 p.m.
NEDg Description generation batch_69f68f8d2ca08190a385635fb6130a9f completed May 2, 2026, 11:58 p.m.
NED2 Entity disambiguation (via description) batch_69f69033a66481908bf4ae23fced5983 completed May 3, 2026, midnight
Created at: April 9, 2026, 5:21 p.m.