Triple

T5158524
Position Surface form Disambiguated ID Type / Status
Subject Louis Lagrenée E116375 entity
Predicate familyName P18 FINISHED
Object Lagrenée
Lagrenée is a French surname most notably associated with the 18th-century painter Louis Lagrenée.
 E497790 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: Lagrenée | Statement: [Louis Lagrenée, familyName, Lagrenée]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lagrenée
Context triple: [Louis Lagrenée, familyName, Lagrenée]
  • A. Fontenais
    Fontenais is a municipality in the canton of Jura in northwestern Switzerland, situated in the Ajoie region near the town of Porrentruy.
  • B. Drouet
    Drouet is a French surname most notably associated with Jean-Baptiste Drouet, the postmaster who helped identify and arrest King Louis XVI during his attempted flight in 1791.
  • C. Haubourdin
    Haubourdin is a commune in northern France, located near Lille in the Nord department of the Hauts-de-France region.
  • D. Vallet
    Vallet is a small French commune known for its wine production in the Loire Valley region of western France.
  • E. Houyet
    Houyet is a rural municipality in the province of Namur, Belgium, known for its forests, castles, and location along the Lesse River.
  • 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: Lagrenée
Triple: [Louis Lagrenée, familyName, Lagrenée]
Generated description
Lagrenée is a French surname most notably associated with the 18th-century painter Louis Lagrenée.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lagrenée
Target entity description: Lagrenée is a French surname most notably associated with the 18th-century painter Louis Lagrenée.
  • A. Fontenais
    Fontenais is a municipality in the canton of Jura in northwestern Switzerland, situated in the Ajoie region near the town of Porrentruy.
  • B. Drouet
    Drouet is a French surname most notably associated with Jean-Baptiste Drouet, the postmaster who helped identify and arrest King Louis XVI during his attempted flight in 1791.
  • C. Haubourdin
    Haubourdin is a commune in northern France, located near Lille in the Nord department of the Hauts-de-France region.
  • D. Vallet
    Vallet is a small French commune known for its wine production in the Loire Valley region of western France.
  • E. Houyet
    Houyet is a rural municipality in the province of Namur, Belgium, known for its forests, castles, and location along the Lesse River.
  • 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_69bd445d94788190b72e2cc563120995 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7904457c819090f382029ebb2b43 completed March 20, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed01a85f88190827a79a2c26e539f completed March 21, 2026, 5:06 p.m.
NEDg Description generation batch_69bed254037c8190b1487b12425f8abe completed March 21, 2026, 5:16 p.m.
NED2 Entity disambiguation (via description) batch_69bed2be57108190bc3e758c34ffc34f completed March 21, 2026, 5:17 p.m.
Created at: March 20, 2026, 1:44 p.m.