Triple

T4432901
Position Surface form Disambiguated ID Type / Status
Subject Charlene E95375 entity
Predicate hasVariant P455 FINISHED
Object Charlène
Charlène is a French feminine given name, typically considered a variant of Charlene or a diminutive of Charlotte.
 E440563 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: Charlène | Statement: [Charlene, hasVariant, Charlène]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Charlène
Context triple: [Charlene, hasVariant, Charlène]
  • A. 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.
  • B. Laetitia
    Laetitia is a feminine given name of Latin origin, historically borne by figures such as the English poet and essayist Anna Laetitia Barbauld.
  • C. Valérie
    Valérie is a French feminine given name commonly used in Francophone countries.
  • D. Caroline Deslonde
    Caroline Deslonde was a 19th-century Louisiana Creole woman best known as the wife of Confederate general P. G. T. Beauregard.
  • E. Aline
    Aline is a feminine given name of French origin, commonly used in various cultures and languages.
  • 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: Charlène
Triple: [Charlene, hasVariant, Charlène]
Generated description
Charlène is a French feminine given name, typically considered a variant of Charlene or a diminutive of Charlotte.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Charlène
Target entity description: Charlène is a French feminine given name, typically considered a variant of Charlene or a diminutive of Charlotte.
  • A. 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.
  • B. Laetitia
    Laetitia is a feminine given name of Latin origin, historically borne by figures such as the English poet and essayist Anna Laetitia Barbauld.
  • C. Valérie
    Valérie is a French feminine given name commonly used in Francophone countries.
  • D. Caroline Deslonde
    Caroline Deslonde was a 19th-century Louisiana Creole woman best known as the wife of Confederate general P. G. T. Beauregard.
  • E. Aline
    Aline is a feminine given name of French origin, commonly used in various cultures and languages.
  • 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_69b3453c2a0c8190926b574c90766db9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3556cd83881908547aa311c4f17fa completed March 13, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6137171148190b77a6f783d5cf315 completed March 15, 2026, 2:03 a.m.
NEDg Description generation batch_69b6177d1a588190991fddf506239d22 completed March 15, 2026, 2:20 a.m.
NED2 Entity disambiguation (via description) batch_69b61b6bc1448190b30d444a821bb1a5 completed March 15, 2026, 2:37 a.m.
Created at: March 12, 2026, 11:31 p.m.