Triple

T13959401
Position Surface form Disambiguated ID Type / Status
Subject Pierre Marie Auguste Broussonet E335751 entity
Predicate familyName P18 FINISHED
Object Broussonet
Broussonet is a French surname most notably associated with Pierre Marie Auguste Broussonet, an 18th-century physician and botanist.
 E1071425 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: Broussonet | Statement: [Pierre Marie Auguste Broussonet, familyName, Broussonet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Broussonet
Context triple: [Pierre Marie Auguste Broussonet, familyName, Broussonet]
  • A. Bignon
    Bignon is a French estate historically associated with Victor Riqueti, marquis de Mirabeau, a prominent 18th-century economist and physiocrat.
  • B. Boissière
    Boissière is a Paris Métro station on the city’s Right Bank, located in the 16th arrondissement near the Trocadéro area.
  • C. Sambreville
    Sambreville is a municipality in the Walloon region of Belgium, situated along the Sambre River and known for its industrial and mining heritage.
  • D. Bouvardia
    Bouvardia is a genus of flowering plants known for its tubular, often fragrant blooms and ornamental use in gardens and floral arrangements.
  • E. Lafoensia
    Lafoensia is a genus of flowering plants known for its ornamental trees and shrubs native to tropical regions of the Americas.
  • 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: Broussonet
Triple: [Pierre Marie Auguste Broussonet, familyName, Broussonet]
Generated description
Broussonet is a French surname most notably associated with Pierre Marie Auguste Broussonet, an 18th-century physician and botanist.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Broussonet
Target entity description: Broussonet is a French surname most notably associated with Pierre Marie Auguste Broussonet, an 18th-century physician and botanist.
  • A. Bignon
    Bignon is a French estate historically associated with Victor Riqueti, marquis de Mirabeau, a prominent 18th-century economist and physiocrat.
  • B. Boissière
    Boissière is a Paris Métro station on the city’s Right Bank, located in the 16th arrondissement near the Trocadéro area.
  • C. Sambreville
    Sambreville is a municipality in the Walloon region of Belgium, situated along the Sambre River and known for its industrial and mining heritage.
  • D. Bouvardia
    Bouvardia is a genus of flowering plants known for its tubular, often fragrant blooms and ornamental use in gardens and floral arrangements.
  • E. Lafoensia
    Lafoensia is a genus of flowering plants known for its ornamental trees and shrubs native to tropical regions of the Americas.
  • 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_69d81c61f3508190aaf2ca0dc0002c59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e7b2f908190aa32f22298964746 completed April 14, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1d490048190b28cb44dd4ec46c4 completed May 6, 2026, 8:17 p.m.
NEDg Description generation batch_69fba5646cb48190acd932f6fbd6fe62 completed May 6, 2026, 8:32 p.m.
NED2 Entity disambiguation (via description) batch_69fba6525d0c8190a1ab15881030c11c completed May 6, 2026, 8:36 p.m.
Created at: April 9, 2026, 10:17 p.m.