Triple

T16643879
Position Surface form Disambiguated ID Type / Status
Subject Josefina Osmeña E404413 entity
Predicate givenName P17 FINISHED
Object Josefina
Josefina is a feminine given name of Spanish origin commonly used in various Spanish-speaking countries.
 E1225337 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: [Josefina Osmeña, givenName, Josefina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Josefina
Context triple: [Josefina Osmeña, givenName, Josefina]
  • A. Fabiola
    Fabiola is a given name of Latin origin, historically associated with saints and European royalty.
  • B. Josefa
    Josefa is a feminine given name of Spanish origin, historically borne by notable figures such as Mexican independence heroine Josefa Ortiz de Domínguez.
  • C. Rosana
    Rosana is a municipality in the state of São Paulo, Brazil, known for hosting a campus of São Paulo State University (UNESP).
  • D. Rosana
    Rosana is a Brazilian professional footballer known for her successful international career and contributions to top women’s clubs, including Avaldsnes IL.
  • E. Luisa
    Luisa is a feminine given name used in various languages, particularly Romance languages, as a form of the name Louise.
  • 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: [Josefina Osmeña, givenName, Josefina]
Generated description
Josefina is a feminine given name of Spanish origin commonly used in various Spanish-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Josefina
Target entity description: Josefina is a feminine given name of Spanish origin commonly used in various Spanish-speaking countries.
  • A. Fabiola
    Fabiola is a given name of Latin origin, historically associated with saints and European royalty.
  • B. Josefa
    Josefa is a feminine given name of Spanish origin, historically borne by notable figures such as Mexican independence heroine Josefa Ortiz de Domínguez.
  • C. Rosana
    Rosana is a municipality in the state of São Paulo, Brazil, known for hosting a campus of São Paulo State University (UNESP).
  • D. Rosana
    Rosana is a Brazilian professional footballer known for her successful international career and contributions to top women’s clubs, including Avaldsnes IL.
  • E. Luisa
    Luisa is a feminine given name used in various languages, particularly Romance languages, as a form of the name Louise.
  • 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ad3b12c8190a32e33d9ecff9dae completed April 18, 2026, 12:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0084bd1b648190b6189533dcd7b9ac completed May 10, 2026, 1:14 p.m.
NEDg Description generation batch_6a008568d2e88190a3757c7d48fa464b completed May 10, 2026, 1:17 p.m.
NED2 Entity disambiguation (via description) batch_6a0085d27d188190a13ba94c6a642dde completed May 10, 2026, 1:19 p.m.
Created at: April 10, 2026, 5:18 a.m.