Triple

T5358434
Position Surface form Disambiguated ID Type / Status
Subject Demers E102759 entity
Predicate hasNotableBearer P458 FINISHED
Object Dominique Demers
Dominique Demers is a Canadian author and former journalist best known for her popular children's and young adult books, including the "Mlle Charlotte" series.
E514884 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: Dominique Demers | Statement: [Demers, hasNotableBearer, Dominique Demers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dominique Demers
Context triple: [Demers, hasNotableBearer, Dominique Demers]
  • A. Dominique Bourgeois
    Dominique Bourgeois is a Canadian journalist and the former wife of musician Robbie Robertson, known for her work in media and her connection to the rock group The Band’s inner circle.
  • B. Jean Demers
    Jean Demers is a person notable enough to be recognized as a significant bearer of the surname Demers.
  • C. Élisabeth Masse
    Élisabeth Masse is a French local politician serving as the mayor of the commune of Saint-André-lez-Lille in northern France.
  • D. Yvette Blais
    Yvette Blais is a television composer best known for her work scoring the animated science fiction series "Star Trek: The Animated Series."
  • E. Marie-France Boisselle
    Marie-France Boisselle is known as the wife of American actor Fred Ward.
  • 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: Dominique Demers
Triple: [Demers, hasNotableBearer, Dominique Demers]
Generated description
Dominique Demers is a Canadian author and former journalist best known for her popular children's and young adult books, including the "Mlle Charlotte" series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dominique Demers
Target entity description: Dominique Demers is a Canadian author and former journalist best known for her popular children's and young adult books, including the "Mlle Charlotte" series.
  • A. Dominique Bourgeois
    Dominique Bourgeois is a Canadian journalist and the former wife of musician Robbie Robertson, known for her work in media and her connection to the rock group The Band’s inner circle.
  • B. Jean Demers
    Jean Demers is a person notable enough to be recognized as a significant bearer of the surname Demers.
  • C. Élisabeth Masse
    Élisabeth Masse is a French local politician serving as the mayor of the commune of Saint-André-lez-Lille in northern France.
  • D. Yvette Blais
    Yvette Blais is a television composer best known for her work scoring the animated science fiction series "Star Trek: The Animated Series."
  • E. Marie-France Boisselle
    Marie-France Boisselle is known as the wife of American actor Fred Ward.
  • 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_69bd43d8f7248190b64c140734b5c9a8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd8631ca2c8190856258bf340f6e5d completed March 20, 2026, 5:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf291c89c8819084b9305c3bddc3c0 completed March 21, 2026, 11:26 p.m.
NEDg Description generation batch_69bf29ba3e1c8190987f22566a9ec806 completed March 21, 2026, 11:28 p.m.
NED2 Entity disambiguation (via description) batch_69bf2a489ec88190bbeb628b4903607c completed March 21, 2026, 11:31 p.m.
Created at: March 20, 2026, 2:02 p.m.