Triple

T15434167
Position Surface form Disambiguated ID Type / Status
Subject Bourgeois E369715 entity
Predicate hasNotableBearer P458 FINISHED
Object Hélène Bourgeois
Hélène Bourgeois is a notable individual who carries the Bourgeois surname, recognized for her contributions in her respective field.
E1188197 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: Hélène Bourgeois | Statement: [Bourgeois, hasNotableBearer, Hélène Bourgeois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hélène Bourgeois
Context triple: [Bourgeois, hasNotableBearer, Hélène Bourgeois]
  • A. Hélène Pagé
    Hélène Pagé is a notable individual recognized for achievements significant enough to be associated with the surname Pagé.
  • B. Hélène Rochas
    Hélène Rochas was a French socialite, businesswoman, and former model who became the influential head of the Rochas perfume and fashion house.
  • C. Geneviève Picot
    Geneviève Picot is an Australian actress known for her work in film, television, and theatre, including a prominent role in the acclaimed drama "Proof."
  • D. Hélène Duc
    Hélène Duc was a French actress known for her work in film, television, and theater, particularly active in the mid-20th century.
  • E. Marie-Hélène Aubert
    Marie-Hélène Aubert is a French politician who has served as the mayor of the commune of Jouy-en-Josas in the Île-de-France region.
  • 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: Hélène Bourgeois
Triple: [Bourgeois, hasNotableBearer, Hélène Bourgeois]
Generated description
Hélène Bourgeois is a notable individual who carries the Bourgeois surname, recognized for her contributions in her respective field.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hélène Bourgeois
Target entity description: Hélène Bourgeois is a notable individual who carries the Bourgeois surname, recognized for her contributions in her respective field.
  • A. Hélène Pagé
    Hélène Pagé is a notable individual recognized for achievements significant enough to be associated with the surname Pagé.
  • B. Hélène Rochas
    Hélène Rochas was a French socialite, businesswoman, and former model who became the influential head of the Rochas perfume and fashion house.
  • C. Geneviève Picot
    Geneviève Picot is an Australian actress known for her work in film, television, and theatre, including a prominent role in the acclaimed drama "Proof."
  • D. Hélène Duc
    Hélène Duc was a French actress known for her work in film, television, and theater, particularly active in the mid-20th century.
  • E. Marie-Hélène Aubert
    Marie-Hélène Aubert is a French politician who has served as the mayor of the commune of Jouy-en-Josas in the Île-de-France region.
  • 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03edb3ec481908b26164d4470c9bc completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3b205dc81908c4194a931d94074 completed May 9, 2026, 11:30 p.m.
NEDg Description generation batch_69ffc4ba0a988190b1d93ce6479bac88 completed May 9, 2026, 11:35 p.m.
NED2 Entity disambiguation (via description) batch_69ffc5902904819097a2c5efbde55882 completed May 9, 2026, 11:38 p.m.
Created at: April 10, 2026, 3:21 a.m.