Triple

T12596711
Position Surface form Disambiguated ID Type / Status
Subject Perron E300750 entity
Predicate hasNotableBearer P458 FINISHED
Object Serge Perron
Serge Perron is a Canadian film and television actor known for his supporting roles in various Canadian productions.
 E1010135 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: Serge Perron | Statement: [Perron, hasNotableBearer, Serge Perron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Serge Perron
Context triple: [Perron, hasNotableBearer, Serge Perron]
  • A. Raoul Perron
    Raoul Perron is a person notable enough to be recognized as a significant bearer of the surname Perron, though specific widely known biographical details about him are not clearly established.
  • B. Paul Perron
    Paul Perron is a Canadian scholar and professor known for his work in French literature, semiotics, and literary theory.
  • C. Serge Vachon
    Serge Vachon is an individual notable enough to be recognized as a prominent bearer of the Vachon surname.
  • D. Gilles Vachon
    Gilles Vachon is a French-Canadian writer and screenwriter known for his work in literature and film.
  • E. Denis Vachon
    Denis Vachon is a Canadian artistic gymnast known for competing internationally and later contributing to the sport as a coach.
  • 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: Serge Perron
Triple: [Perron, hasNotableBearer, Serge Perron]
Generated description
Serge Perron is a Canadian film and television actor known for his supporting roles in various Canadian productions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Serge Perron
Target entity description: Serge Perron is a Canadian film and television actor known for his supporting roles in various Canadian productions.
  • A. Raoul Perron
    Raoul Perron is a person notable enough to be recognized as a significant bearer of the surname Perron, though specific widely known biographical details about him are not clearly established.
  • B. Paul Perron
    Paul Perron is a Canadian scholar and professor known for his work in French literature, semiotics, and literary theory.
  • C. Serge Vachon
    Serge Vachon is an individual notable enough to be recognized as a prominent bearer of the Vachon surname.
  • D. Gilles Vachon
    Gilles Vachon is a French-Canadian writer and screenwriter known for his work in literature and film.
  • E. Denis Vachon
    Denis Vachon is a Canadian artistic gymnast known for competing internationally and later contributing to the sport as a coach.
  • 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_69d7bdea2ca881908f379526c13b1145 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954cf33b88190bff339fcd3142cc8 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a537bb1881908a50073d4f27b66c completed May 3, 2026, 1:30 a.m.
NEDg Description generation batch_69f6a8db611c819086e48afa368df288 completed May 3, 2026, 1:46 a.m.
NED2 Entity disambiguation (via description) batch_69f6a9dc37d08190b658a2e1d8ac2d88 completed May 3, 2026, 1:50 a.m.
Created at: April 9, 2026, 5:08 p.m.