Triple

T15710490
Position Surface form Disambiguated ID Type / Status
Subject Rodrigo Leão E380822 entity
Predicate hasCollaboratedWith P8554 FINISHED
Object Ana Carolina E1022129 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: Ana Carolina | Statement: [Rodrigo Leão, hasCollaboratedWith, Ana Carolina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ana Carolina
Context triple: [Rodrigo Leão, hasCollaboratedWith, Ana Carolina]
  • A. Ana Carolina chosen
    Ana Carolina is a Brazilian singer-songwriter and musician known for her deep, powerful voice and blend of MPB, pop, and samba influences.
  • B. Ana Paula dos Santos
    Ana Paula dos Santos is the former First Lady of Angola and the wife of long-serving Angolan president José Eduardo dos Santos.
  • C. Luciana Souza
    Luciana Souza is a Brazilian jazz singer and composer acclaimed for her sophisticated vocal style and innovative blend of Brazilian music and contemporary jazz.
  • D. Andressa Alves
    Andressa Alves is a Brazilian professional footballer known for her attacking versatility and key contributions to both top European clubs and the Brazil women's national team.
  • E. Anacã Nicoli
    Anacã Nicoli is the son of South African supermodel Candice Swanepoel and Brazilian model Hermann Nicoli.
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f8d8b648190842c635f2ae7bfa4 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff757d74b481909c8332a09ae36b4f completed May 9, 2026, 5:57 p.m.
Created at: April 10, 2026, 4:45 a.m.