Triple

T1432127
Position Surface form Disambiguated ID Type / Status
Subject Victor E30470 entity
Predicate hasCognate P2525 FINISHED
Object Victorino
Victorino is a masculine given name, primarily used in Spanish and Portuguese-speaking cultures, derived from the name Victor.
 E163778 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: Victorino | Statement: [Victor, hasCognate, Victorino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Victorino
Context triple: [Victor, hasCognate, Victorino]
  • A. Álvaro
    Álvaro is a masculine given name of Spanish origin commonly used in Spain and Latin America.
  • B. Ramírez
    Ramírez is a Spanish-language surname commonly associated with people of Hispanic origin, including notable figures in sports, arts, and public life.
  • C. Moisés Vivanco
    Moisés Vivanco was a Peruvian composer, guitarist, and music director best known for creating and arranging much of the repertoire that showcased the extraordinary vocal talents of Yma Sumac.
  • D. Cefereino Garcia
    Cefereino Garcia was a Filipino professional boxer of the 1930s–1940s era, best known as a world middleweight champion and for popularizing the bolo punch.
  • E. Vicente
    Vicente is a given name, common in Spanish- and Portuguese-speaking countries, that corresponds to the English name Vincent.
  • 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: Victorino
Triple: [Victor, hasCognate, Victorino]
Generated description
Victorino is a masculine given name, primarily used in Spanish and Portuguese-speaking cultures, derived from the name Victor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Victorino
Target entity description: Victorino is a masculine given name, primarily used in Spanish and Portuguese-speaking cultures, derived from the name Victor.
  • A. Álvaro
    Álvaro is a masculine given name of Spanish origin commonly used in Spain and Latin America.
  • B. Ramírez
    Ramírez is a Spanish-language surname commonly associated with people of Hispanic origin, including notable figures in sports, arts, and public life.
  • C. Moisés Vivanco
    Moisés Vivanco was a Peruvian composer, guitarist, and music director best known for creating and arranging much of the repertoire that showcased the extraordinary vocal talents of Yma Sumac.
  • D. Cefereino Garcia
    Cefereino Garcia was a Filipino professional boxer of the 1930s–1940s era, best known as a world middleweight champion and for popularizing the bolo punch.
  • E. Vicente
    Vicente is a given name, common in Spanish- and Portuguese-speaking countries, that corresponds to the English name Vincent.
  • 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_69a498fc69ec8190b61722bd4b67c4d2 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c4ddbe208190a68cb000a6970d17 completed March 1, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad016bf2608190a675cbd42e474082 completed March 8, 2026, 4:56 a.m.
NEDg Description generation batch_69ad0294353081908e29735d1b83f2cc completed March 8, 2026, 5:01 a.m.
NED2 Entity disambiguation (via description) batch_69ad02f6bf288190bcb785762d14787c completed March 8, 2026, 5:02 a.m.
Created at: March 1, 2026, 8 p.m.