Triple

T11970335
Position Surface form Disambiguated ID Type / Status
Subject Karen E. Smith E284901 entity
Predicate coAuthor P398 FINISHED
Object Monique Lejeune-Jalabert
Monique Lejeune-Jalabert is an academic author known for scholarly work co-written with mathematician Karen E. Smith.
 E956413 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: Monique Lejeune-Jalabert | Statement: [Karen E. Smith, coAuthor, Monique Lejeune-Jalabert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Monique Lejeune-Jalabert
Context triple: [Karen E. Smith, coAuthor, Monique Lejeune-Jalabert]
  • A. Nelly Quettier
    Nelly Quettier is a French film editor known for her work on acclaimed art-house and auteur cinema.
  • B. Monique Teisseire
    Monique Teisseire is a film editor best known for her work on the classic French musical drama "The Umbrellas of Cherbourg."
  • C. Carine Petit
    Carine Petit is a French politician who serves as the mayor of Paris's 14th arrondissement.
  • D. Nathalie Lorson
    Nathalie Lorson is a renowned French master perfumer known for creating numerous successful and influential fragrances for major international brands.
  • E. Marie-Clotilde-Inès Moitessier
    Marie-Clotilde-Inès Moitessier was a 19th-century French socialite best known as the elegantly dressed sitter in Jean-Auguste-Dominique Ingres’s celebrated portrait "Madame Moitessier."
  • 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: Monique Lejeune-Jalabert
Triple: [Karen E. Smith, coAuthor, Monique Lejeune-Jalabert]
Generated description
Monique Lejeune-Jalabert is an academic author known for scholarly work co-written with mathematician Karen E. Smith.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Monique Lejeune-Jalabert
Target entity description: Monique Lejeune-Jalabert is an academic author known for scholarly work co-written with mathematician Karen E. Smith.
  • A. Nelly Quettier
    Nelly Quettier is a French film editor known for her work on acclaimed art-house and auteur cinema.
  • B. Monique Teisseire
    Monique Teisseire is a film editor best known for her work on the classic French musical drama "The Umbrellas of Cherbourg."
  • C. Carine Petit
    Carine Petit is a French politician who serves as the mayor of Paris's 14th arrondissement.
  • D. Nathalie Lorson
    Nathalie Lorson is a renowned French master perfumer known for creating numerous successful and influential fragrances for major international brands.
  • E. Marie-Clotilde-Inès Moitessier
    Marie-Clotilde-Inès Moitessier was a 19th-century French socialite best known as the elegantly dressed sitter in Jean-Auguste-Dominique Ingres’s celebrated portrait "Madame Moitessier."
  • 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_69d6ab2eaeb881909f7914758f859413 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9037bee54819085242a3ef3e286f9 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f459691ff0819099282172933d2d81 completed May 1, 2026, 7:42 a.m.
NEDg Description generation batch_69f4645ef63881909b46937f73d637a3 completed May 1, 2026, 8:29 a.m.
NED2 Entity disambiguation (via description) batch_69f465be4db08190882898a17d077019 completed May 1, 2026, 8:35 a.m.
Created at: April 8, 2026, 9:46 p.m.