Triple

T22779092
Position Surface form Disambiguated ID Type / Status
Subject Sofía Balbi E563783 entity
Predicate hasChild P369 FINISHED
Object Benjamín Suárez 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: Benjamín Suárez | Statement: [Sofía Balbi, hasChild, Benjamín Suárez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benjamín Suárez
Context triple: [Sofía Balbi, hasChild, Benjamín Suárez]
  • A. Benjamín Suárez chosen
    Benjamín Suárez is the son of Uruguayan footballer Luis Suárez.
  • B. Diego Carrasco
    Diego Carrasco is a Spanish flamenco singer and guitarist known for blending traditional flamenco with contemporary musical styles.
  • C. Raúl Carrasco
    Raúl Carrasco is a Spanish professional bodybuilder known for competing in international bodybuilding championships.
  • D. Fabián Vena
    Fabián Vena is an Argentine actor known for his work in television, film, and theater.
  • E. Matias Corea
    Matias Corea is a designer and entrepreneur best known as the co-founder and former Chief Designer of the creative platform Behance.
  • 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_69e24554497c819080b996e071de27c2 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17b63d348819085668e3d9ac78ffa completed April 29, 2026, 3:30 a.m.
Created at: April 17, 2026, 3:28 p.m.