Triple

T2408309
Position Surface form Disambiguated ID Type / Status
Subject Felix E50326 entity
Predicate hasVariant P455 FINISHED
Object Felicio
Felicio is a given name that functions as a variant form of the name Felix, sharing its Latin roots and connotations of happiness or good fortune.
 E267277 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: Felicio | Statement: [Felix, hasVariant, Felicio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Felicio
Context triple: [Felix, hasVariant, Felicio]
  • A. Rodolfo
    Rodolfo is the original Italian given name of Rudolph Valentino, the iconic silent film actor and sex symbol of the 1920s.
  • B. Plácido
    Plácido is the given name of the renowned Spanish operatic tenor and conductor Plácido Domingo.
  • C. Eugenio
    Eugenio is a masculine given name of Greek origin, commonly used in Spanish- and Italian-speaking countries.
  • D. Ernesto
    Ernesto is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • E. Arturo
    Arturo is a masculine given name of Spanish and Italian origin, equivalent to Arthur in English.
  • 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: Felicio
Triple: [Felix, hasVariant, Felicio]
Generated description
Felicio is a given name that functions as a variant form of the name Felix, sharing its Latin roots and connotations of happiness or good fortune.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Felicio
Target entity description: Felicio is a given name that functions as a variant form of the name Felix, sharing its Latin roots and connotations of happiness or good fortune.
  • A. Rodolfo
    Rodolfo is the original Italian given name of Rudolph Valentino, the iconic silent film actor and sex symbol of the 1920s.
  • B. Plácido
    Plácido is the given name of the renowned Spanish operatic tenor and conductor Plácido Domingo.
  • C. Eugenio
    Eugenio is a masculine given name of Greek origin, commonly used in Spanish- and Italian-speaking countries.
  • D. Ernesto
    Ernesto is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • E. Arturo
    Arturo is a masculine given name of Spanish and Italian origin, equivalent to Arthur in English.
  • 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_69a88b0339a88190a1207333cd271cc9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc92408308190ad2d331ebee71d15 completed March 7, 2026, 6:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef09b92048190acfa3a85417f259c completed March 9, 2026, 4:08 p.m.
NEDg Description generation batch_69aef521b5048190aac3507ad20c6eee completed March 9, 2026, 4:28 p.m.
NED2 Entity disambiguation (via description) batch_69aef6450a1c8190ad5a844b31bff220 completed March 9, 2026, 4:33 p.m.
Created at: March 4, 2026, 7:58 p.m.