Triple

T9113166
Position Surface form Disambiguated ID Type / Status
Subject Roger Frappier E218653 entity
Predicate placeOfBirth P1 FINISHED
Object Sorel
Sorel is a city in southwestern Quebec, Canada, known historically as an important St. Lawrence River port and industrial center.
 E779126 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: Sorel | Statement: [Roger Frappier, placeOfBirth, Sorel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sorel
Context triple: [Roger Frappier, placeOfBirth, Sorel]
  • A. Sorel
    Sorel is a French surname most notably associated with Georges Sorel, the influential early 20th-century philosopher and theorist of revolutionary syndicalism.
  • B. Sorel
    Sorel is a footwear and outerwear brand best known for its durable, stylish winter boots and cold-weather gear.
  • C. La Tuque
    La Tuque is a city in the Mauricie region of Quebec, Canada, known for its vast forested territory and outdoor recreational activities.
  • D. Portneuf
    Portneuf is a regional county municipality in the Capitale-Nationale region of Quebec, Canada, known for its rural landscapes, small towns, and outdoor recreational activities.
  • E. Sillery
    Sillery is a renowned Grand Cru wine-producing village in France’s Champagne region, noted especially for its high-quality Pinot Noir and Chardonnay grapes.
  • 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: Sorel
Triple: [Roger Frappier, placeOfBirth, Sorel]
Generated description
Sorel is a city in southwestern Quebec, Canada, known historically as an important St. Lawrence River port and industrial center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sorel
Target entity description: Sorel is a city in southwestern Quebec, Canada, known historically as an important St. Lawrence River port and industrial center.
  • A. Sorel
    Sorel is a footwear and outerwear brand best known for its durable, stylish winter boots and cold-weather gear.
  • B. Sorel
    Sorel is a French surname most notably associated with Georges Sorel, the influential early 20th-century philosopher and theorist of revolutionary syndicalism.
  • C. La Tuque
    La Tuque is a city in the Mauricie region of Quebec, Canada, known for its vast forested territory and outdoor recreational activities.
  • D. Portneuf
    Portneuf is a regional county municipality in the Capitale-Nationale region of Quebec, Canada, known for its rural landscapes, small towns, and outdoor recreational activities.
  • E. Sillery
    Sillery is a renowned Grand Cru wine-producing village in France’s Champagne region, noted especially for its high-quality Pinot Noir and Chardonnay grapes.
  • 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_69ca83dc94ac8190b9ef42684d36ff39 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca84b0a048190964f560f78e27cce completed April 1, 2026, 5:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d03052716c8190835b0d3357a29ce5 completed April 3, 2026, 9:25 p.m.
NEDg Description generation batch_69d0316f47c88190920843b469d15069 completed April 3, 2026, 9:30 p.m.
NED2 Entity disambiguation (via description) batch_69d032778adc8190a087497507a6e1ca completed April 3, 2026, 9:34 p.m.
Created at: March 30, 2026, 7:16 p.m.