Triple

T5510798
Position Surface form Disambiguated ID Type / Status
Subject Hortência Marcari E144559 entity
Predicate name P16 FINISHED
Object Hortência Marcari E144559 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: Hortência Marcari | Statement: [Hortência Marcari, name, Hortência Marcari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hortência Marcari
Context triple: [Hortência Marcari, name, Hortência Marcari]
  • A. Hortência Marcari chosen
    Hortência Marcari is a legendary Brazilian basketball player widely regarded as one of the greatest female players in the sport’s history.
  • B. 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.
  • C. Saraiva de Carvalho
    Saraiva de Carvalho is the surname of Otelo Saraiva de Carvalho, a prominent Portuguese military officer and key strategist of the 1974 Carnation Revolution.
  • D. Iberê Camargo
    Iberê Camargo was a prominent Brazilian painter and printmaker known for his expressionist style and significant influence on 20th-century Brazilian art.
  • E. Vânia Nonnenmacher
    Vânia Nonnenmacher is a Brazilian woman best known as the mother of supermodel Gisele Bündchen.
  • 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_69c008f6b5048190a09064116062cf69 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f4cbc2c819091fcbff5f39ceeb4 completed March 22, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c027cd14748190bd48d350cfe63603 completed March 22, 2026, 5:33 p.m.
Created at: March 22, 2026, 3:33 p.m.