Triple

T5607107
Position Surface form Disambiguated ID Type / Status
Subject Liliane Bettencourt E147260 entity
Predicate familyName P18 FINISHED
Object Bettencourt
Bettencourt is a prominent French surname most famously associated with Liliane Bettencourt, the L'Oréal heiress and once one of the world's wealthiest women.
 E536937 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: Bettencourt | Statement: [Liliane Bettencourt, familyName, Bettencourt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bettencourt
Context triple: [Liliane Bettencourt, familyName, Bettencourt]
  • A. Bonaly
    Bonaly is the surname of French figure skater Surya Bonaly, renowned for her powerful athleticism and signature backflip on ice.
  • B. Cantona
    Cantona is the surname of Eric Cantona, the iconic French footballer and actor best known for his influential spell at Manchester United in the 1990s.
  • C. Mauroy
    Mauroy is a French surname most notably associated with Pierre Mauroy, a former Prime Minister of France and prominent Socialist politician.
  • D. Lebrun
    Lebrun is a French surname borne by various notable figures in politics, arts, and other fields.
  • E. Breuillet
    Breuillet is a commune in the Essonne department in the Île-de-France region of northern France.
  • 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: Bettencourt
Triple: [Liliane Bettencourt, familyName, Bettencourt]
Generated description
Bettencourt is a prominent French surname most famously associated with Liliane Bettencourt, the L'Oréal heiress and once one of the world's wealthiest women.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bettencourt
Target entity description: Bettencourt is a prominent French surname most famously associated with Liliane Bettencourt, the L'Oréal heiress and once one of the world's wealthiest women.
  • A. Bonaly
    Bonaly is the surname of French figure skater Surya Bonaly, renowned for her powerful athleticism and signature backflip on ice.
  • B. Cantona
    Cantona is the surname of Eric Cantona, the iconic French footballer and actor best known for his influential spell at Manchester United in the 1990s.
  • C. Mauroy
    Mauroy is a French surname most notably associated with Pierre Mauroy, a former Prime Minister of France and prominent Socialist politician.
  • D. Lebrun
    Lebrun is a French surname borne by various notable figures in politics, arts, and other fields.
  • E. Breuillet
    Breuillet is a commune in the Essonne department in the Île-de-France region of northern France.
  • 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_69c0090500f881908374285baf0ac46f completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020fbb8748190841e5e09db3feef1 completed March 22, 2026, 5:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d4465388190b28f47f11e133b6a completed March 22, 2026, 8:12 p.m.
NEDg Description generation batch_69c04e88680c8190845723f52c060fb7 completed March 22, 2026, 8:18 p.m.
NED2 Entity disambiguation (via description) batch_69c04f7b889c81909db7cb4baf40ed80 completed March 22, 2026, 8:22 p.m.
Created at: March 22, 2026, 3:39 p.m.