Triple

T9759398
Position Surface form Disambiguated ID Type / Status
Subject Caron E236630 entity
Predicate hasNotableBearer P458 FINISHED
Object Michel Caron
Michel Caron is a French-Canadian politician who served as a member of the National Assembly of Quebec.
 E828709 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: Michel Caron | Statement: [Caron, hasNotableBearer, Michel Caron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Michel Caron
Context triple: [Caron, hasNotableBearer, Michel Caron]
  • A. François Caron
    François Caron is a notable individual whose name is shared with others bearing the surname Caron.
  • B. Martin Gélinas
    Martin Gélinas is a retired Canadian professional ice hockey forward best known for his long NHL career and clutch playoff performances, including key goals during the Calgary Flames’ 2004 Stanley Cup run.
  • C. Laurent Sauvé
    Laurent Sauvé was an early French-Canadian settler and namesake of Sauvie Island in the Columbia River near Portland, Oregon.
  • D. Paul Caron
    Paul Caron is a legal academic best known as a leading U.S. tax law scholar and the longtime publisher of the influential TaxProf Blog.
  • E. Michel Dion
    Michel Dion is a retired Canadian professional ice hockey goaltender who played in the National Hockey League during the 1970s and 1980s.
  • 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: Michel Caron
Triple: [Caron, hasNotableBearer, Michel Caron]
Generated description
Michel Caron is a French-Canadian politician who served as a member of the National Assembly of Quebec.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Michel Caron
Target entity description: Michel Caron is a French-Canadian politician who served as a member of the National Assembly of Quebec.
  • A. François Caron
    François Caron is a notable individual whose name is shared with others bearing the surname Caron.
  • B. Martin Gélinas
    Martin Gélinas is a retired Canadian professional ice hockey forward best known for his long NHL career and clutch playoff performances, including key goals during the Calgary Flames’ 2004 Stanley Cup run.
  • C. Laurent Sauvé
    Laurent Sauvé was an early French-Canadian settler and namesake of Sauvie Island in the Columbia River near Portland, Oregon.
  • D. Paul Caron
    Paul Caron is a legal academic best known as a leading U.S. tax law scholar and the longtime publisher of the influential TaxProf Blog.
  • E. Michel Dion
    Michel Dion is a retired Canadian professional ice hockey goaltender who played in the National Hockey League during the 1970s and 1980s.
  • 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_69ca84d64f6c8190a4ed4e9f5936eda5 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda049995c81908569ec61805642b2 completed April 1, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69d20d048c5081908c891633129dc5d6 completed April 5, 2026, 7:19 a.m.
NEDg Description generation batch_69d20e9f480c819086b0165aa77ddb06 completed April 5, 2026, 7:26 a.m.
NED2 Entity disambiguation (via description) batch_69d20fa9cab88190bbddcf18b49f8172 completed April 5, 2026, 7:30 a.m.
Created at: March 30, 2026, 8:24 p.m.