Triple

T4719010
Position Surface form Disambiguated ID Type / Status
Subject Pascual E104717 entity
Predicate hasVariant P455 FINISHED
Object Pascale
Pascale is a given name of French origin used for both males and females, derived from the Latin word for "Easter" and related to names like Pascal and Pascual.
 E465712 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: Pascale | Statement: [Pascual, hasVariant, Pascale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pascale
Context triple: [Pascual, hasVariant, Pascale]
  • A. Delphine
    Delphine is an epistolary novel by Madame de Staël that explores themes of love, social convention, and women's independence in late 18th-century French society.
  • 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. Pierrette
    Pierrette is a French feminine given name, traditionally considered the female form of Pierre.
  • D. Noémie
    Noémie is a French given name, equivalent to Naomi, commonly used for girls in Francophone countries.
  • E. Ève
    Ève is a feminine given name of French origin, famously borne by Ève Curie, the daughter of Marie and Pierre Curie.
  • 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: Pascale
Triple: [Pascual, hasVariant, Pascale]
Generated description
Pascale is a given name of French origin used for both males and females, derived from the Latin word for "Easter" and related to names like Pascal and Pascual.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pascale
Target entity description: Pascale is a given name of French origin used for both males and females, derived from the Latin word for "Easter" and related to names like Pascal and Pascual.
  • A. Delphine
    Delphine is an epistolary novel by Madame de Staël that explores themes of love, social convention, and women's independence in late 18th-century French society.
  • 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. Pierrette
    Pierrette is a French feminine given name, traditionally considered the female form of Pierre.
  • D. Noémie
    Noémie is a French given name, equivalent to Naomi, commonly used for girls in Francophone countries.
  • E. Ève
    Ève is a feminine given name of French origin, famously borne by Ève Curie, the daughter of Marie and Pierre Curie.
  • 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_69bd43ec4a348190bc41afae43375e71 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd642779a08190b01e588d515cf498 completed March 20, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69be108bc0048190aeea8674f75105e5 completed March 21, 2026, 3:29 a.m.
NEDg Description generation batch_69be2e247f28819099e14db2c551a8f2 completed March 21, 2026, 5:35 a.m.
NED2 Entity disambiguation (via description) batch_69be2ee962f88190927ccb32acdcc2e8 completed March 21, 2026, 5:38 a.m.
Created at: March 20, 2026, 1:18 p.m.