Triple

T23240612
Position Surface form Disambiguated ID Type / Status
Subject Manuel Fernando Soto E581430 entity
Predicate hasSurname P18 FINISHED
Object Soto NE NERFINISHED

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: Soto | Statement: [Manuel Fernando Soto, hasSurname, Soto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Soto
Context triple: [Manuel Fernando Soto, hasSurname, Soto]
  • A. Soto chosen
    Soto is a surname most prominently associated with Dominican professional baseball star Juan Soto, an elite Major League Baseball outfielder known for his exceptional hitting skills.
  • B. Rufino
    Rufino is a masculine given name, commonly used in Spanish and Portuguese, that is cognate with the Latin-derived name Rufus.
  • C. Aguilar
    Aguilar is a noble family name of Spanish origin historically associated with various aristocratic lineages and houses on the Iberian Peninsula.
  • D. Carrillo
    Carrillo is a Spanish-origin surname borne by numerous notable individuals across the Spanish-speaking world and beyond.
  • E. Montúfar
    Montúfar is a Spanish-origin surname historically associated with notable figures in Latin American colonial and independence-era history.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2460556f88190be1744a84a84173f completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f192edd974819093a57456e7b12a03 completed April 29, 2026, 5:11 a.m.
Created at: April 17, 2026, 4:10 p.m.