Triple

T15845953
Position Surface form Disambiguated ID Type / Status
Subject François Cluzet E384212 entity
Predicate child P120 FINISHED
Object Paul Cluzet
Paul Cluzet is the son of acclaimed French actor François Cluzet.
E1179896 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: Paul Cluzet | Statement: [François Cluzet, child, Paul Cluzet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Cluzet
Context triple: [François Cluzet, child, Paul Cluzet]
  • A. Olivier Rochus
    Olivier Rochus is a retired Belgian professional tennis player known for his finesse, doubles success, and a career-high singles ranking inside the world’s top 25.
  • B. Louis Vergniaud Pierre-Noel
    Louis Vergniaud Pierre-Noel was a Haitian graphic designer and artist best known as the husband of African-American painter Loïs Mailou Jones.
  • C. James Thierrée
    James Thierrée is a Swiss-born actor, director, and contemporary circus performer known for his inventive, physical, and often surreal stage productions that blend mime, dance, and acrobatics.
  • D. 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.
  • E. Louis Seigner
    Louis Seigner was a prominent French actor and long-time member of the Comédie-Française, known for his extensive work in theatre and film.
  • 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: Paul Cluzet
Triple: [François Cluzet, child, Paul Cluzet]
Generated description
Paul Cluzet is the son of acclaimed French actor François Cluzet.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Paul Cluzet
Target entity description: Paul Cluzet is the son of acclaimed French actor François Cluzet.
  • A. Olivier Rochus
    Olivier Rochus is a retired Belgian professional tennis player known for his finesse, doubles success, and a career-high singles ranking inside the world’s top 25.
  • B. Louis Vergniaud Pierre-Noel
    Louis Vergniaud Pierre-Noel was a Haitian graphic designer and artist best known as the husband of African-American painter Loïs Mailou Jones.
  • C. James Thierrée
    James Thierrée is a Swiss-born actor, director, and contemporary circus performer known for his inventive, physical, and often surreal stage productions that blend mime, dance, and acrobatics.
  • D. 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.
  • E. Louis Seigner
    Louis Seigner was a prominent French actor and long-time member of the Comédie-Française, known for his extensive work in theatre and film.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e14ca636048190bc89cd8b4efa89e9 completed April 16, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa143dcb48190951648edeae6542d completed May 9, 2026, 9:04 p.m.
NEDg Description generation batch_69ffa419c6dc81908c9678f8434530f8 completed May 9, 2026, 9:16 p.m.
NED2 Entity disambiguation (via description) batch_69ffa4cff5088190a7f11fd62941f4fb completed May 9, 2026, 9:19 p.m.
Created at: April 10, 2026, 4:50 a.m.