Triple

T14179718
Position Surface form Disambiguated ID Type / Status
Subject George Sand E351421 entity
Predicate notableWork P4 FINISHED
Object Mauprat
Mauprat is a 1837 novel by French writer George Sand that blends romantic adventure with social and psychological themes, often seen as an early feminist and proto–Bildungsroman work.
 E1083658 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: Mauprat | Statement: [George Sand, notableWork, Mauprat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mauprat
Context triple: [George Sand, notableWork, Mauprat]
  • A. Maurepas
    Maurepas is a commune in the Yvelines department in the Île-de-France region of north-central France, known as a residential suburb southwest of Paris.
  • B. Prittitz
    Prittitz is a small municipality in the German state of Saxony-Anhalt that lies within the broader Leipzig metropolitan area.
  • C. Gochenée
    Gochenée is a small village in Wallonia, Belgium, known primarily as the birthplace of the 19th-century architect Alphonse Balat.
  • D. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • E. Gaume
    Gaume is a culturally distinct region in southern Belgium known for its milder microclimate, French-speaking population, and characteristic rural landscapes.
  • 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: Mauprat
Triple: [George Sand, notableWork, Mauprat]
Generated description
Mauprat is a 1837 novel by French writer George Sand that blends romantic adventure with social and psychological themes, often seen as an early feminist and proto–Bildungsroman work.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mauprat
Target entity description: Mauprat is a 1837 novel by French writer George Sand that blends romantic adventure with social and psychological themes, often seen as an early feminist and proto–Bildungsroman work.
  • A. Maurepas
    Maurepas is a commune in the Yvelines department in the Île-de-France region of north-central France, known as a residential suburb southwest of Paris.
  • B. Prittitz
    Prittitz is a small municipality in the German state of Saxony-Anhalt that lies within the broader Leipzig metropolitan area.
  • C. Gochenée
    Gochenée is a small village in Wallonia, Belgium, known primarily as the birthplace of the 19th-century architect Alphonse Balat.
  • D. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • E. Gaume
    Gaume is a culturally distinct region in southern Belgium known for its milder microclimate, French-speaking population, and characteristic rural landscapes.
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61c90abc8190a9b9dc1f50db59fa completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf8114774819094670dd800a40796 completed May 7, 2026, 8:37 p.m.
NEDg Description generation batch_69fd04c17ee881908c84a2d0dbdc491e completed May 7, 2026, 9:31 p.m.
NED2 Entity disambiguation (via description) batch_69fd065c9ecc81908ea544f42136e32c completed May 7, 2026, 9:38 p.m.
Created at: April 10, 2026, 1:02 a.m.