Triple

T6065638
Position Surface form Disambiguated ID Type / Status
Subject Iberê Camargo E135151 entity
Predicate name P16 FINISHED
Object Iberê Camargo E135151 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: Iberê Camargo | Statement: [Iberê Camargo, name, Iberê Camargo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Iberê Camargo
Context triple: [Iberê Camargo, name, Iberê Camargo]
  • A. Iberê Camargo chosen
    Iberê Camargo was a prominent Brazilian painter and printmaker known for his expressionist style and significant influence on 20th-century Brazilian art.
  • B. Elisa Claro
    Elisa Claro was the wife of French writer and Surrealist movement founder André Breton.
  • C. Santana Lopes
    Santana Lopes is a Portuguese lawyer and politician who briefly served as Prime Minister of Portugal in 2004–2005.
  • D. Malu Verçosa
    Malu Verçosa is a Brazilian journalist and LGBTQ+ activist best known as the wife of singer Daniela Mercury and for their public role in advancing same-sex marriage visibility in Brazil.
  • E. Cascatinha Taunay
    Cascatinha Taunay is a picturesque waterfall in Rio de Janeiro, Brazil, renowned as one of the most iconic natural attractions within the Tijuca Forest.
  • 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_69c00878d06881909ee78e88913bf890 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0573df7508190bbb5b496188b2f3e completed March 22, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c12520dfa4819080578766a070b98b completed March 23, 2026, 11:33 a.m.
Created at: March 22, 2026, 4:10 p.m.