Triple

T1976850
Position Surface form Disambiguated ID Type / Status
Subject Fernández E42933 entity
Predicate patronymicOfGivenName P7966 FINISHED
Object Fernando E167378 NE FINISHED

How this triple was built (3 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: Fernando | Statement: [Fernández, patronymicOfGivenName, Fernando]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fernando
Context triple: [Fernández, patronymicOfGivenName, Fernando]
  • A. Fernando chosen
    Fernando is the given name of Salgueiro Maia, a key Portuguese military officer who played a leading role in the Carnation Revolution.
  • B. Alfonso
    Alfonso is a masculine given name of Spanish and Italian origin historically borne by numerous kings, nobles, and notable figures across Europe.
  • C. Francisco
    Francisco is a masculine given name of Spanish and Portuguese origin, equivalent to Francis in English.
  • D. Manuel
    Manuel is the given name of Manny Ramirez, the former Major League Baseball star known for his powerful hitting and tenure with the Boston Red Sox.
  • E. Luís
    Luís is a common Portuguese male given name, historically associated with notable figures such as the poet Luís de Camões.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: patronymicOfGivenName
Context triple: [Fernández, patronymicOfGivenName, Fernando]
  • A. patronymicName chosen
    Indicates that one entity’s name is derived from or based on the given name of a parent or ancestor, typically the father.
  • B. isMatronymicOf
    Indicates that one entity is a name or designation derived from the mother of another entity, typically used as that entity’s family or identifying name.
  • C. fatherName
    Indicates that one entity is the name of the father of another entity.
  • D. namesakeFullName
    Indicates that one entity’s full name is used as the namesake or source of the name for another entity.
  • E. givenNameFor
    Indicates that one entity is the personal first name assigned to or used for another entity.
  • F. None of above.

Provenance (4 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_69a8871289048190b00b0d7744b7b2b1 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb3f9a87c8190816db3888787ad76 completed March 7, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71a548408190b8c8c97c94336e2d completed March 9, 2026, 7:07 a.m.
PD Predicate disambiguation batch_69abaff9a09c8190a81fa13f4b85bc79 completed March 7, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:36 p.m.