Triple

T878951
Position Surface form Disambiguated ID Type / Status
Subject Jacques Demers E18983 entity
Predicate familyName P18 FINISHED
Object Demers
Demers is a French-origin surname commonly found in Canada and associated with various notable figures in politics, sports, and the arts.
 E102759 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: Demers | Statement: [Jacques Demers, familyName, Demers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Demers
Context triple: [Jacques Demers, familyName, Demers]
  • A. Sauvestre
    Sauvestre is a French surname most notably associated with architect Stephen Sauvestre, who contributed to the design of the Eiffel Tower.
  • B. Dern
    Dern is a surname most prominently associated with American actor Bruce Dern and his family of performers.
  • C. Van Brunt
    Van Brunt is the surname of Brom Bones, the boisterous rival of Ichabod Crane in Washington Irving’s “The Legend of Sleepy Hollow.”
  • D. Hudson Fysh
    Hudson Fysh was an Australian aviator and businessman best known as a co-founder and long-serving leader of Qantas, helping to establish it as a major international airline.
  • E. Yann
    Yann is the given name of Yann LeCun, a pioneering computer scientist known for his foundational work in deep learning and convolutional neural networks.
  • 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: Demers
Triple: [Jacques Demers, familyName, Demers]
Generated description
Demers is a French-origin surname commonly found in Canada and associated with various notable figures in politics, sports, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Demers
Target entity description: Demers is a French-origin surname commonly found in Canada and associated with various notable figures in politics, sports, and the arts.
  • A. Sauvestre
    Sauvestre is a French surname most notably associated with architect Stephen Sauvestre, who contributed to the design of the Eiffel Tower.
  • B. Dern
    Dern is a surname most prominently associated with American actor Bruce Dern and his family of performers.
  • C. Van Brunt
    Van Brunt is the surname of Brom Bones, the boisterous rival of Ichabod Crane in Washington Irving’s “The Legend of Sleepy Hollow.”
  • D. Hudson Fysh
    Hudson Fysh was an Australian aviator and businessman best known as a co-founder and long-serving leader of Qantas, helping to establish it as a major international airline.
  • E. Yann
    Yann is the given name of Yann LeCun, a pioneering computer scientist known for his foundational work in deep learning and convolutional neural networks.
  • 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_69a4938db1f081909bcd1ad2713b6096 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4acb1dc20819095b9bb093158b60d completed March 1, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7b85630f081909f3a912d54dd328c completed March 4, 2026, 4:43 a.m.
NEDg Description generation batch_69a7b8de773c8190a993b057dfe3693e completed March 4, 2026, 4:45 a.m.
NED2 Entity disambiguation (via description) batch_69a7b9793dd48190869b3499fe170efd completed March 4, 2026, 4:47 a.m.
Created at: March 1, 2026, 7:39 p.m.