Triple

T10205510
Position Surface form Disambiguated ID Type / Status
Subject Juliette Gréco E242180 entity
Predicate child P120 FINISHED
Object Laurence-Marie Lemaire
Laurence-Marie Lemaire is the daughter of iconic French singer and actress Juliette Gréco.
E1005226 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: Laurence-Marie Lemaire | Statement: [Juliette Gréco, child, Laurence-Marie Lemaire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laurence-Marie Lemaire
Context triple: [Juliette Gréco, child, Laurence-Marie Lemaire]
  • A. Georges Leygues
    Georges Leygues was a French politician of the Third Republic who served as Prime Minister and held several key ministerial posts, notably in the navy and education.
  • B. Émile Perreau-Pradier
    Émile Perreau-Pradier was a notable French figure commemorated by the literary Prix Émile Perreau-Pradier that bears his name.
  • C. Léon Boyer
    Léon Boyer was a French civil engineer best known for designing major 19th-century railway structures, including the Garabit Viaduct.
  • D. André-Louis Auzière
    André-Louis Auzière was a French banker best known as the first husband of Brigitte Macron and the father of Laurence Auzière-Jourdan.
  • E. Louis Verneuil
    Louis Verneuil was a French playwright, screenwriter, and actor known for his popular comedies and contributions to early 20th-century French theatre and cinema.
  • 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: Laurence-Marie Lemaire
Triple: [Juliette Gréco, child, Laurence-Marie Lemaire]
Generated description
Laurence-Marie Lemaire is the daughter of iconic French singer and actress Juliette Gréco.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Laurence-Marie Lemaire
Target entity description: Laurence-Marie Lemaire is the daughter of iconic French singer and actress Juliette Gréco.
  • A. Georges Leygues
    Georges Leygues was a French politician of the Third Republic who served as Prime Minister and held several key ministerial posts, notably in the navy and education.
  • B. Émile Perreau-Pradier
    Émile Perreau-Pradier was a notable French figure commemorated by the literary Prix Émile Perreau-Pradier that bears his name.
  • C. Léon Boyer
    Léon Boyer was a French civil engineer best known for designing major 19th-century railway structures, including the Garabit Viaduct.
  • D. André-Louis Auzière
    André-Louis Auzière was a French banker best known as the first husband of Brigitte Macron and the father of Laurence Auzière-Jourdan.
  • E. Louis Verneuil
    Louis Verneuil was a French playwright, screenwriter, and actor known for his popular comedies and contributions to early 20th-century French theatre and cinema.
  • 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_69d381ae26c48190985abd0e25ee5d04 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d395f6298c8190a4a0ad9770f10e80 completed April 6, 2026, 11:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69f68e99c2608190b923ca8a9178fea2 completed May 2, 2026, 11:54 p.m.
NEDg Description generation batch_69f69061011c81908cb045925cfefdd7 completed May 3, 2026, 12:01 a.m.
NED2 Entity disambiguation (via description) batch_69f69138b40881909e9c74d6d922e1f3 completed May 3, 2026, 12:05 a.m.
Created at: April 6, 2026, 10:44 a.m.