Triple

T4457653
Position Surface form Disambiguated ID Type / Status
Subject Greg E97768 entity
Predicate hasVariant P455 FINISHED
Object Gregorio E229139 NE FINISHED

How this triple was built (2 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: Gregorio | Statement: [Greg, hasVariant, Gregorio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gregorio
Context triple: [Greg, hasVariant, Gregorio]
  • A. Gregorio chosen
    Gregorio is a masculine given name of Latin origin, commonly used in Spanish and Italian-speaking cultures and derived from the name Gregory.
  • B. Timoteo
    Timoteo is a masculine given name, commonly used in Romance-language countries, derived from the biblical name Timothy.
  • C. Calixto
    Calixto is a masculine given name of Spanish origin, historically borne by several notable Latin American figures.
  • D. Atanacio
    Atanacio is the Spanish given name of Hall of Fame Cuban-American baseball player Tony Pérez.
  • E. Ignazio
    Ignazio is an Italian given name, cognate to Ignacy and typically associated with the Latin-rooted names Ignatius and Ignacio.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69b3454777808190b78aa9047ba1f018 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3564485688190a0d49fdccf8724be completed March 13, 2026, 12:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6282ea6308190b726a9f8176d4d1b completed March 15, 2026, 3:31 a.m.
Created at: March 12, 2026, 11:33 p.m.