Triple

T7234010
Position Surface form Disambiguated ID Type / Status
Subject Waltercio Caldas E155175 entity
Predicate givenName P17 FINISHED
Object Waltercio E155175 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: Waltercio | Statement: [Waltercio Caldas, givenName, Waltercio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waltercio
Context triple: [Waltercio Caldas, givenName, Waltercio]
  • A. Gilberto
    Gilberto is a masculine given name of Romance-language origin, commonly used in Italian, Spanish, and Portuguese-speaking countries.
  • B. Raimundo
    Raimundo is a masculine given name of Spanish and Portuguese origin, related to the name Ramón and ultimately derived from the Germanic name Raymond.
  • C. Andrade
    Andrade is a common Portuguese and Spanish surname borne by numerous notable figures across fields such as sports, politics, and the arts.
  • D. Guilherme
    Guilherme is the Portuguese form of the given name William, commonly used in Portuguese-speaking countries.
  • E. Waltercio Caldas chosen
    Waltercio Caldas is a Brazilian contemporary artist known for his minimalist, conceptual sculptures and installations that explore perception, space, and the relationship between objects and viewers.
  • 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_69c688143bfc81908d4176617735e601 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea11b03c81909702ad2e0c29758a completed March 27, 2026, 8:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e51f35b88190a1d6b12903d93cee completed March 28, 2026, 2:26 p.m.
Created at: March 27, 2026, 2:55 p.m.