Triple

T3835129
Position Surface form Disambiguated ID Type / Status
Subject Josefa E91111 entity
Predicate cognateWith P2525 FINISHED
Object Josefina
Josefina is a feminine given name, commonly used in Spanish- and Portuguese-speaking countries, that is a variant of the name Josefa.
 E91111 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: Josefina | Statement: [Josefa, cognateWith, Josefina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Josefina
Context triple: [Josefa, cognateWith, Josefina]
  • A. Josefa
    Josefa is a feminine given name of Spanish origin, historically borne by notable figures such as Mexican independence heroine Josefa Ortiz de Domínguez.
  • B. Luisa
    Luisa is a feminine given name used in various languages, particularly Romance languages, as a form of the name Louise.
  • C. Carmelina
    Carmelina is a lesser-known Broadway musical with music by Burton Lane and lyrics by Alan Jay Lerner, loosely based on the film "Buona Sera, Mrs. Campbell."
  • D. Consuelo
    Consuelo is a feminine given name of Spanish origin, historically associated with figures such as American socialite Consuelo Vanderbilt.
  • E. María
    "María" is a film featuring actress Taryn Power in a significant role.
  • 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: Josefina
Triple: [Josefa, cognateWith, Josefina]
Generated description
Josefina is a feminine given name, commonly used in Spanish- and Portuguese-speaking countries, that is a variant of the name Josefa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Josefina
Target entity description: Josefina is a feminine given name, commonly used in Spanish- and Portuguese-speaking countries, that is a variant of the name Josefa.
  • A. Josefa chosen
    Josefa is a feminine given name of Spanish origin, historically borne by notable figures such as Mexican independence heroine Josefa Ortiz de Domínguez.
  • B. Luisa
    Luisa is a feminine given name used in various languages, particularly Romance languages, as a form of the name Louise.
  • C. Carmelina
    Carmelina is a lesser-known Broadway musical with music by Burton Lane and lyrics by Alan Jay Lerner, loosely based on the film "Buona Sera, Mrs. Campbell."
  • D. Consuelo
    Consuelo is a feminine given name of Spanish origin, historically associated with figures such as American socialite Consuelo Vanderbilt.
  • E. María
    "María" is a film featuring actress Taryn Power in a significant role.
  • F. None of above.

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_69aed960b538819096561c8ed448dec9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeeb9a27508190b05e5312cc7c8033 completed March 9, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b512259d048190be25add7e38a0326 completed March 14, 2026, 7:45 a.m.
NEDg Description generation batch_69b5129946508190860e12a8f90eb5ee completed March 14, 2026, 7:47 a.m.
NED2 Entity disambiguation (via description) batch_69b513481c308190849e66bbd9caf57c completed March 14, 2026, 7:50 a.m.
Created at: March 9, 2026, 3:18 p.m.