Triple

T9459629
Position Surface form Disambiguated ID Type / Status
Subject Marie-José Nat E228107 entity
Predicate spouse P13 FINISHED
Object Roger Dumas
Roger Dumas was a French actor known for his prolific work in film, television, and theater from the mid-20th century onward.
 E801127 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: Roger Dumas | Statement: [Marie-José Nat, spouse, Roger Dumas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Roger Dumas
Context triple: [Marie-José Nat, spouse, Roger Dumas]
  • A. James Trombly
    James Trombly is an author known for writing Western-themed works centered on cowboy life and culture.
  • B. LeRoy Neiman
    LeRoy Neiman was a prolific American artist best known for his vibrantly colored, expressionistic paintings and sketches of sporting events and celebrity culture.
  • C. Raymond Hains
    Raymond Hains was a French artist and photographer known for his pioneering work with torn posters and urban visual culture, making him a key figure in the Nouveau Réalisme movement.
  • D. Frédéric Thiébaud
    Frédéric Thiébaud is a Swiss businessman best known as the husband of Canadian country-pop singer Shania Twain.
  • E. Art Cohn
    Art Cohn was an American screenwriter and author active in mid-20th-century Hollywood, known for his work on several feature films and non-fiction books.
  • 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: Roger Dumas
Triple: [Marie-José Nat, spouse, Roger Dumas]
Generated description
Roger Dumas was a French actor known for his prolific work in film, television, and theater from the mid-20th century onward.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Roger Dumas
Target entity description: Roger Dumas was a French actor known for his prolific work in film, television, and theater from the mid-20th century onward.
  • A. James Trombly
    James Trombly is an author known for writing Western-themed works centered on cowboy life and culture.
  • B. LeRoy Neiman
    LeRoy Neiman was a prolific American artist best known for his vibrantly colored, expressionistic paintings and sketches of sporting events and celebrity culture.
  • C. Raymond Hains
    Raymond Hains was a French artist and photographer known for his pioneering work with torn posters and urban visual culture, making him a key figure in the Nouveau Réalisme movement.
  • D. Frédéric Thiébaud
    Frédéric Thiébaud is a Swiss businessman best known as the husband of Canadian country-pop singer Shania Twain.
  • E. Art Cohn
    Art Cohn was an American screenwriter and author active in mid-20th-century Hollywood, known for his work on several feature films and non-fiction books.
  • 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_69ca843b123881909b0e60028475d12d completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7fc916348190aeb3874a89071677 completed April 1, 2026, 8:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69d122965aa48190bb35202b8dd0fdbd completed April 4, 2026, 2:39 p.m.
NEDg Description generation batch_69d12474e91c8190b3f127a44fb0f345 completed April 4, 2026, 2:47 p.m.
NED2 Entity disambiguation (via description) batch_69d12521921881909fa14b99c6dd5158 completed April 4, 2026, 2:50 p.m.
Created at: March 30, 2026, 7:52 p.m.