Triple

T11136396
Position Surface form Disambiguated ID Type / Status
Subject Eva Green E263424 entity
Predicate mother P120 FINISHED
Object Marlène Jobert
Marlène Jobert is a French actress and author known for her film roles in the 1960s–70s and for being the mother of actress Eva Green.
 E908167 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: Marlène Jobert | Statement: [Eva Green, mother, Marlène Jobert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marlène Jobert
Context triple: [Eva Green, mother, Marlène Jobert]
  • A. Joëlle Léandre
    Joëlle Léandre is a renowned French double bassist, composer, and leading figure in contemporary improvised and experimental music.
  • B. Mireille Soria
    Mireille Soria is a film producer best known for her work on major animated features at DreamWorks Animation.
  • C. Joëlle Milquet
    Joëlle Milquet is a Belgian politician known for leading the centrist humanist party cdH and serving in several ministerial roles in the Belgian government.
  • D. Suzanne Jolibois
    Suzanne Jolibois was the wife of French phenomenologist and philosopher Maurice Merleau-Ponty.
  • E. Élise Dosne
    Élise Dosne was a 19th-century French woman best known as the wife and close political confidante of statesman and historian Adolphe Thiers, the first President of the French Third Republic.
  • 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: Marlène Jobert
Triple: [Eva Green, mother, Marlène Jobert]
Generated description
Marlène Jobert is a French actress and author known for her film roles in the 1960s–70s and for being the mother of actress Eva Green.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marlène Jobert
Target entity description: Marlène Jobert is a French actress and author known for her film roles in the 1960s–70s and for being the mother of actress Eva Green.
  • A. Joëlle Léandre
    Joëlle Léandre is a renowned French double bassist, composer, and leading figure in contemporary improvised and experimental music.
  • B. Mireille Soria
    Mireille Soria is a film producer best known for her work on major animated features at DreamWorks Animation.
  • C. Joëlle Milquet
    Joëlle Milquet is a Belgian politician known for leading the centrist humanist party cdH and serving in several ministerial roles in the Belgian government.
  • D. Suzanne Jolibois
    Suzanne Jolibois was the wife of French phenomenologist and philosopher Maurice Merleau-Ponty.
  • E. Élise Dosne
    Élise Dosne was a 19th-century French woman best known as the wife and close political confidante of statesman and historian Adolphe Thiers, the first President of the French Third Republic.
  • 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e85daddc8190a1ae2a4a75cc8d50 completed April 9, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69e463177bfc81908a3e66ffc0777777 completed April 19, 2026, 5:07 a.m.
NEDg Description generation batch_69e4666f98ac81908b3d3b8a6a8af8c9 completed April 19, 2026, 5:21 a.m.
NED2 Entity disambiguation (via description) batch_69e46c3f28dc8190a521c00151b01fde completed April 19, 2026, 5:46 a.m.
Created at: April 8, 2026, 9:28 p.m.