Triple

T6693075
Position Surface form Disambiguated ID Type / Status
Subject Henri Nestlé E152675 entity
Predicate spouse P13 FINISHED
Object Cécile Perret
Cécile Perret was the wife of Swiss industrialist Henri Nestlé, founder of the Nestlé food and beverage company.
E622496 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: Cécile Perret | Statement: [Henri Nestlé, spouse, Cécile Perret]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cécile Perret
Context triple: [Henri Nestlé, spouse, Cécile Perret]
  • A. Claire Delbos
    Claire Delbos was a French violinist and composer, best known as the first wife and close musical collaborator of Olivier Messiaen.
  • B. Marcelle Maurette
    Marcelle Maurette was a French playwright best known for her stage works about historical figures, particularly her play about the Grand Duchess Anastasia that inspired the 1956 film adaptation.
  • C. Françoise Noguès
    Françoise Noguès is a French physician best known as the mother of Brigitte Macron, the First Lady of France.
  • D. Camille Guérin
    Camille Guérin was a French veterinarian and bacteriologist best known as the co-developer of the Bacillus Calmette–Guérin (BCG) vaccine against tuberculosis.
  • E. Marie-Luce Penchard
    Marie-Luce Penchard is a French politician from Guadeloupe who has served in national government and local leadership roles.
  • 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: Cécile Perret
Triple: [Henri Nestlé, spouse, Cécile Perret]
Generated description
Cécile Perret was the wife of Swiss industrialist Henri Nestlé, founder of the Nestlé food and beverage company.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cécile Perret
Target entity description: Cécile Perret was the wife of Swiss industrialist Henri Nestlé, founder of the Nestlé food and beverage company.
  • A. Claire Delbos
    Claire Delbos was a French violinist and composer, best known as the first wife and close musical collaborator of Olivier Messiaen.
  • B. Marcelle Maurette
    Marcelle Maurette was a French playwright best known for her stage works about historical figures, particularly her play about the Grand Duchess Anastasia that inspired the 1956 film adaptation.
  • C. Françoise Noguès
    Françoise Noguès is a French physician best known as the mother of Brigitte Macron, the First Lady of France.
  • D. Camille Guérin
    Camille Guérin was a French veterinarian and bacteriologist best known as the co-developer of the Bacillus Calmette–Guérin (BCG) vaccine against tuberculosis.
  • E. Marie-Luce Penchard
    Marie-Luce Penchard is a French politician from Guadeloupe who has served in national government and local leadership roles.
  • 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_69c6880687b08190805278b504d1c92c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6b1955e448190adbfed7dc28f8c52 completed March 27, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723bb93c881908fdb9f1924842314 completed March 28, 2026, 12:41 a.m.
NEDg Description generation batch_69c7277ab488819097b5cda23dbe53fe completed March 28, 2026, 12:57 a.m.
NED2 Entity disambiguation (via description) batch_69c727d682ac8190a4c5e305194c683d completed March 28, 2026, 12:59 a.m.
Created at: March 27, 2026, 2:05 p.m.