Triple

T2983131
Position Surface form Disambiguated ID Type / Status
Subject Jean-Pierre Marielle E80557 entity
Predicate spouse P13 FINISHED
Object Agathe Natanson
Agathe Natanson is a French actress known for her work in film, television, and theater.
 E342144 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: Agathe Natanson | Statement: [Jean-Pierre Marielle, spouse, Agathe Natanson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Agathe Natanson
Context triple: [Jean-Pierre Marielle, spouse, Agathe Natanson]
  • A. Carol Mendelsohn
    Carol Mendelsohn is an American television producer and writer best known for her influential work shaping the CSI franchise and modern crime procedural dramas.
  • B. Julia Bloch
    Julia Bloch is an American poet, editor, and scholar known for her innovative work in contemporary poetry and literary criticism.
  • C. Aviva Kempner
    Aviva Kempner is an American independent filmmaker and documentarian best known for her works exploring Jewish history, social justice, and overlooked cultural figures.
  • D. Tatiana Schlossberg
    Tatiana Schlossberg is an American journalist and author, known for her environmental reporting and as a member of the Kennedy family.
  • E. Aline Chazal
    Aline Chazal was the mother of French Post-Impressionist painter Paul Gauguin and a key familial influence during his early life.
  • 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: Agathe Natanson
Triple: [Jean-Pierre Marielle, spouse, Agathe Natanson]
Generated description
Agathe Natanson is a French actress known for her work in film, television, and theater.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Agathe Natanson
Target entity description: Agathe Natanson is a French actress known for her work in film, television, and theater.
  • A. Carol Mendelsohn
    Carol Mendelsohn is an American television producer and writer best known for her influential work shaping the CSI franchise and modern crime procedural dramas.
  • B. Julia Bloch
    Julia Bloch is an American poet, editor, and scholar known for her innovative work in contemporary poetry and literary criticism.
  • C. Aviva Kempner
    Aviva Kempner is an American independent filmmaker and documentarian best known for her works exploring Jewish history, social justice, and overlooked cultural figures.
  • D. Tatiana Schlossberg
    Tatiana Schlossberg is an American journalist and author, known for her environmental reporting and as a member of the Kennedy family.
  • E. Aline Chazal
    Aline Chazal was the mother of French Post-Impressionist painter Paul Gauguin and a key familial influence during his early life.
  • 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_69ad8b15f6ac8190be5fd16a33edcb4f completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99a1ed44819085ae6d39943db1d9 completed March 8, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28de24f9881908396d263c4e21a04 completed March 12, 2026, 9:56 a.m.
NEDg Description generation batch_69b28f9e12488190b93355b783300264 completed March 12, 2026, 10:04 a.m.
NED2 Entity disambiguation (via description) batch_69b2c08b196881908e72596d54ab8873 completed March 12, 2026, 1:32 p.m.
Created at: March 8, 2026, 2:58 p.m.