Triple

T2684548
Position Surface form Disambiguated ID Type / Status
Subject Toussaint Bréda E57452 entity
Predicate familyName P18 FINISHED
Object Bréda
Bréda is the surname originally borne by Toussaint Louverture, the prominent leader of the Haitian Revolution.
 E287508 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: Bréda | Statement: [Toussaint Bréda, familyName, Bréda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bréda
Context triple: [Toussaint Bréda, familyName, Bréda]
  • A. Valperga
    Valperga is a historical novel by Mary Shelley that reimagines the life and times of the 14th-century Italian warlord Castruccio Castracani through a blend of romance, politics, and philosophical reflection.
  • B. Gallarate
    Gallarate is a town in the Lombardy region of northern Italy, situated in the province of Varese and forming part of the greater Milan metropolitan area.
  • C. Arbogne
    Arbogne is a small river in western Switzerland that serves as a tributary of the Broye.
  • D. Bernicia
    Bernicia was an early medieval Anglo-Saxon kingdom in northern Britain that later became part of the larger kingdom of Northumbria.
  • E. Selasca
    Selasca is a small locality in northern Italy notable as the place where the mathematician Bernhard Riemann died.
  • 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: Bréda
Triple: [Toussaint Bréda, familyName, Bréda]
Generated description
Bréda is the surname originally borne by Toussaint Louverture, the prominent leader of the Haitian Revolution.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bréda
Target entity description: Bréda is the surname originally borne by Toussaint Louverture, the prominent leader of the Haitian Revolution.
  • A. Valperga
    Valperga is a historical novel by Mary Shelley that reimagines the life and times of the 14th-century Italian warlord Castruccio Castracani through a blend of romance, politics, and philosophical reflection.
  • B. Gallarate
    Gallarate is a town in the Lombardy region of northern Italy, situated in the province of Varese and forming part of the greater Milan metropolitan area.
  • C. Arbogne
    Arbogne is a small river in western Switzerland that serves as a tributary of the Broye.
  • D. Bernicia
    Bernicia was an early medieval Anglo-Saxon kingdom in northern Britain that later became part of the larger kingdom of Northumbria.
  • E. Selasca
    Selasca is a small locality in northern Italy notable as the place where the mathematician Bernhard Riemann died.
  • 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_69ab4a5028388190a36f3baf1588309e completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd9edba5c8190b86d6cba0f1964e2 completed March 7, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa0700d548190944544495a2d42f6 completed March 10, 2026, 4:39 a.m.
NEDg Description generation batch_69afa1196aac81909b25557dff5acf5e completed March 10, 2026, 4:42 a.m.
NED2 Entity disambiguation (via description) batch_69afa1ab8da8819090af3ed60b417040 completed March 10, 2026, 4:44 a.m.
Created at: March 6, 2026, 9:54 p.m.