Triple

T5661116
Position Surface form Disambiguated ID Type / Status
Subject Battle of San Domingo E124740 entity
Predicate FrenchFrigates P19503 FINISHED
Object Cornélie
Cornélie was a French Navy frigate that took part in the Battle of San Domingo during the Napoleonic Wars.
 E537925 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: Cornélie | Statement: [Battle of San Domingo, FrenchFrigates, Cornélie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cornélie
Context triple: [Battle of San Domingo, FrenchFrigates, Cornélie]
  • A. Arlette
    Arlette, also known as Herleva of Falaise, was the mother of William the Conqueror and a key figure in the early life of the first Norman king of England.
  • B. Charlène
    Charlène is a French feminine given name, typically considered a variant of Charlene or a diminutive of Charlotte.
  • C. Armande
    Armande is a French given name historically associated with figures in the performing arts, notably in 17th-century France.
  • D. Laetitia
    Laetitia is a feminine given name of Latin origin, historically borne by figures such as the English poet and essayist Anna Laetitia Barbauld.
  • E. Françoise
    Françoise is the given name of Louise de La Vallière, a 17th-century French noblewoman best known as a mistress of King Louis XIV.
  • 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: Cornélie
Triple: [Battle of San Domingo, FrenchFrigates, Cornélie]
Generated description
Cornélie was a French Navy frigate that took part in the Battle of San Domingo during the Napoleonic Wars.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cornélie
Target entity description: Cornélie was a French Navy frigate that took part in the Battle of San Domingo during the Napoleonic Wars.
  • A. Arlette
    Arlette, also known as Herleva of Falaise, was the mother of William the Conqueror and a key figure in the early life of the first Norman king of England.
  • B. Charlène
    Charlène is a French feminine given name, typically considered a variant of Charlene or a diminutive of Charlotte.
  • C. Armande
    Armande is a French given name historically associated with figures in the performing arts, notably in 17th-century France.
  • D. Laetitia
    Laetitia is a feminine given name of Latin origin, historically borne by figures such as the English poet and essayist Anna Laetitia Barbauld.
  • E. Françoise
    Françoise is the given name of Louise de La Vallière, a 17th-century French noblewoman best known as a mistress of King Louis XIV.
  • 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_69c0082774a481909d7e63fb2aad56ac completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c0335cf55c8190937a8657406ac4a2 completed March 22, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04da6fa808190a3c500ee664bb150 completed March 22, 2026, 8:14 p.m.
NEDg Description generation batch_69c04edf30448190a60eda49b8b031a0 completed March 22, 2026, 8:19 p.m.
NED2 Entity disambiguation (via description) batch_69c04fb62690819083327781cb857ccc completed March 22, 2026, 8:23 p.m.
Created at: March 22, 2026, 3:42 p.m.