Triple

T6840171
Position Surface form Disambiguated ID Type / Status
Subject Julie Gayet E157550 entity
Predicate hasRelative P367 FINISHED
Object Brice Gayet
Brice Gayet is a French surgeon and medical professor known for his work in minimally invasive and laparoscopic surgery.
 E623749 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: Brice Gayet | Statement: [Julie Gayet, hasRelative, Brice Gayet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Brice Gayet
Context triple: [Julie Gayet, hasRelative, Brice Gayet]
  • A. Xavier Beauvois
    Xavier Beauvois is a French film director, screenwriter, and actor best known for his critically acclaimed drama "Of Gods and Men."
  • B. Éric Pascal
    Éric Pascal is a person notable enough to be recognized as a significant bearer of the surname Pascal.
  • C. Daniel Auteuil
    Daniel Auteuil is a renowned French film and stage actor acclaimed for his versatile performances in both popular cinema and auteur-driven dramas.
  • D. Guillaume Canet
    Guillaume Canet is a French actor, director, and screenwriter known for films such as "Tell No One" and "Little White Lies."
  • E. Conrad Alexandre Gérard
    Conrad Alexandre Gérard was a French diplomat who served as the first French minister to the United States during the American Revolutionary era.
  • 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: Brice Gayet
Triple: [Julie Gayet, hasRelative, Brice Gayet]
Generated description
Brice Gayet is a French surgeon and medical professor known for his work in minimally invasive and laparoscopic surgery.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Brice Gayet
Target entity description: Brice Gayet is a French surgeon and medical professor known for his work in minimally invasive and laparoscopic surgery.
  • A. Xavier Beauvois
    Xavier Beauvois is a French film director, screenwriter, and actor best known for his critically acclaimed drama "Of Gods and Men."
  • B. Éric Pascal
    Éric Pascal is a person notable enough to be recognized as a significant bearer of the surname Pascal.
  • C. Daniel Auteuil
    Daniel Auteuil is a renowned French film and stage actor acclaimed for his versatile performances in both popular cinema and auteur-driven dramas.
  • D. Guillaume Canet
    Guillaume Canet is a French actor, director, and screenwriter known for films such as "Tell No One" and "Little White Lies."
  • E. Conrad Alexandre Gérard
    Conrad Alexandre Gérard was a French diplomat who served as the first French minister to the United States during the American Revolutionary era.
  • 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_69c6882c53608190b99aebef079b23bd completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d6b2ee248190991c3e827be75bb7 completed March 27, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72fb4f80081908198c8270633d34a completed March 28, 2026, 1:32 a.m.
NEDg Description generation batch_69c730cdb3c88190802ddda15d8aa52f completed March 28, 2026, 1:37 a.m.
NED2 Entity disambiguation (via description) batch_69c734876ca0819087842bec6e01c02e completed March 28, 2026, 1:53 a.m.
Created at: March 27, 2026, 2:19 p.m.