Triple

T18926341
Position Surface form Disambiguated ID Type / Status
Subject Pierre Dansereau E462981 entity
Predicate familyName P18 FINISHED
Object Dansereau
Dansereau is a French-origin surname notably associated with Canadian ecologist Pierre Dansereau.
E1349237 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: Dansereau | Statement: [Pierre Dansereau, familyName, Dansereau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dansereau
Context triple: [Pierre Dansereau, familyName, Dansereau]
  • A. Vallière
    Vallière is a river in eastern France that flows through the town of Lons-le-Saunier in the Jura department.
  • B. Oudry
    Oudry is the surname of Jean-Baptiste Oudry, an 18th-century French painter and engraver renowned for his animal and hunting scenes.
  • C. Delannay
    Delannay is a variant spelling of the surname Delannoy, which is of French origin.
  • D. Desmarais
    Desmarais is a French surname, often associated with notable families and individuals in business, politics, and the arts.
  • E. Deslauriers
    Deslauriers is a shrewd, ambitious, and often opportunistic lawyer who serves as Frédéric Moreau’s close friend and cynical foil in Gustave Flaubert’s novel "Sentimental Education."
  • 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: Dansereau
Triple: [Pierre Dansereau, familyName, Dansereau]
Generated description
Dansereau is a French-origin surname notably associated with Canadian ecologist Pierre Dansereau.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dansereau
Target entity description: Dansereau is a French-origin surname notably associated with Canadian ecologist Pierre Dansereau.
  • A. Vallière
    Vallière is a river in eastern France that flows through the town of Lons-le-Saunier in the Jura department.
  • B. Oudry
    Oudry is the surname of Jean-Baptiste Oudry, an 18th-century French painter and engraver renowned for his animal and hunting scenes.
  • C. Delannay
    Delannay is a variant spelling of the surname Delannoy, which is of French origin.
  • D. Desmarais
    Desmarais is a French surname, often associated with notable families and individuals in business, politics, and the arts.
  • E. Deslauriers
    Deslauriers is a shrewd, ambitious, and often opportunistic lawyer who serves as Frédéric Moreau’s close friend and cynical foil in Gustave Flaubert’s novel "Sentimental Education."
  • 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_69d8dcfdbbb881909964fa5a75bd0b48 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c9bc36588190ae9cc3b8abf8afd4 completed April 20, 2026, 6:37 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05911dd02c81909ea050471cc7774a completed May 14, 2026, 9:08 a.m.
NEDg Description generation batch_6a05935f68bc819084d1f46fd9d51a2e completed May 14, 2026, 9:18 a.m.
NED2 Entity disambiguation (via description) batch_6a05944851d48190827e1a7fe9a795d5 completed May 14, 2026, 9:22 a.m.
Created at: April 10, 2026, 11:59 a.m.