Triple

T15815382
Position Surface form Disambiguated ID Type / Status
Subject Jodelle Ferland E383462 entity
Predicate familyName P18 FINISHED
Object Ferland
Ferland is a French-origin surname commonly found in Canada and associated with several notable individuals in arts, sports, and public life.
 E1178358 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: Ferland | Statement: [Jodelle Ferland, familyName, Ferland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ferland
Context triple: [Jodelle Ferland, familyName, Ferland]
  • A. Tremblay
    Tremblay is a common French-Canadian surname, particularly prevalent in Quebec and associated with numerous public figures in sports, politics, and the arts.
  • B. Valcartier
    Valcartier is a locality in Quebec, Canada, best known for its large Canadian Forces military base and nearby recreational facilities.
  • C. Villeneuve
    Villeneuve is a Swiss municipality on the eastern shore of Lake Geneva in the canton of Vaud, known as a lakeside gateway to the nearby Chillon Castle and the Vaud Alps.
  • D. Villeneuve
    Villeneuve is a small rural town located within the Somerset Region of Queensland, Australia.
  • E. Desmarais
    Desmarais is a French surname, often associated with notable families and individuals in business, politics, and the arts.
  • 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: Ferland
Triple: [Jodelle Ferland, familyName, Ferland]
Generated description
Ferland is a French-origin surname commonly found in Canada and associated with several notable individuals in arts, sports, and public life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ferland
Target entity description: Ferland is a French-origin surname commonly found in Canada and associated with several notable individuals in arts, sports, and public life.
  • A. Tremblay
    Tremblay is a common French-Canadian surname, particularly prevalent in Quebec and associated with numerous public figures in sports, politics, and the arts.
  • B. Valcartier
    Valcartier is a locality in Quebec, Canada, best known for its large Canadian Forces military base and nearby recreational facilities.
  • C. Villeneuve
    Villeneuve is a Swiss municipality on the eastern shore of Lake Geneva in the canton of Vaud, known as a lakeside gateway to the nearby Chillon Castle and the Vaud Alps.
  • D. Villeneuve
    Villeneuve is a small rural town located within the Somerset Region of Queensland, Australia.
  • E. Desmarais
    Desmarais is a French surname, often associated with notable families and individuals in business, politics, and the arts.
  • 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_69d86da2858c819090cc8481e7207b6e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0c4a219508190b8588120ec415ac7 completed April 16, 2026, 11:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff99959f048190ae24a072387ec233 completed May 9, 2026, 8:31 p.m.
NEDg Description generation batch_69ff9ad6b29081909ff2abb2c4d866a4 completed May 9, 2026, 8:36 p.m.
NED2 Entity disambiguation (via description) batch_69ff9b443280819088dbf18f7c57406b completed May 9, 2026, 8:38 p.m.
Created at: April 10, 2026, 4:49 a.m.