Triple

T4432919
Position Surface form Disambiguated ID Type / Status
Subject Charlene E95375 entity
Predicate spellingVariant P457 FINISHED
Object Charlène E440563 NE FINISHED

How this triple was built (2 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, spellingVariant, Charlène]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlène
Context triple: [Charlene, spellingVariant, Charlène]
  • A. Charlène chosen
    Charlène is a French feminine given name, typically considered a variant of Charlene or a diminutive of Charlotte.
  • B. 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.
  • C. Laetitia
    Laetitia is a feminine given name of Latin origin, historically borne by figures such as the English poet and essayist Anna Laetitia Barbauld.
  • D. Valérie
    Valérie is a French feminine given name commonly used in Francophone countries.
  • E. Caroline Deslonde
    Caroline Deslonde was a 19th-century Louisiana Creole woman best known as the wife of Confederate general P. G. T. Beauregard.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69b628002e208190a68c659abd348040 completed March 15, 2026, 3:31 a.m.
Created at: March 12, 2026, 11:31 p.m.