Triple

T5095320
Position Surface form Disambiguated ID Type / Status
Subject Daniela Mercury E114850 entity
Predicate notableWork P4 FINISHED
Object Feijão de Corda
Feijão de Corda is a song by Brazilian singer Daniela Mercury, known for blending Afro-Brazilian rhythms with energetic pop and axé music.
 E494676 NE FINISHED

How this triple was built (4 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: Feijão de Corda | Statement: [Daniela Mercury, notableWork, Feijão de Corda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Feijão de Corda
Context triple: [Daniela Mercury, notableWork, Feijão de Corda]
  • A. Moqueca baiana
    Moqueca baiana is a traditional Afro-Brazilian seafood stew from Bahia, typically made with fish or shrimp simmered in coconut milk, dendê (palm) oil, tomatoes, onions, and peppers.
  • B. Cajueiro
    Cajueiro is a neighborhood within the city of Recife in northeastern Brazil.
  • C. Tico-Tico no Fubá
    Tico-Tico no Fubá is a famous Brazilian choro composition by Zequinha de Abreu, widely recognized as a lively instrumental standard in Latin American music.
  • D. Mustardinha
    Mustardinha is a neighborhood located in the city of Recife, in northeastern Brazil.
  • E. Comedor de Aguiar
    Comedor de Aguiar is the elegant fine-dining restaurant inside Havana’s historic Hotel Nacional de Cuba, known for its classic Cuban and international cuisine.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Feijão de Corda
Triple: [Daniela Mercury, notableWork, Feijão de Corda]
Generated description
Feijão de Corda is a song by Brazilian singer Daniela Mercury, known for blending Afro-Brazilian rhythms with energetic pop and axé music.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Feijão de Corda
Target entity description: Feijão de Corda is a song by Brazilian singer Daniela Mercury, known for blending Afro-Brazilian rhythms with energetic pop and axé music.
  • A. Moqueca baiana
    Moqueca baiana is a traditional Afro-Brazilian seafood stew from Bahia, typically made with fish or shrimp simmered in coconut milk, dendê (palm) oil, tomatoes, onions, and peppers.
  • B. Cajueiro
    Cajueiro is a neighborhood within the city of Recife in northeastern Brazil.
  • C. Tico-Tico no Fubá
    Tico-Tico no Fubá is a famous Brazilian choro composition by Zequinha de Abreu, widely recognized as a lively instrumental standard in Latin American music.
  • D. Mustardinha
    Mustardinha is a neighborhood located in the city of Recife, in northeastern Brazil.
  • E. Comedor de Aguiar
    Comedor de Aguiar is the elegant fine-dining restaurant inside Havana’s historic Hotel Nacional de Cuba, known for its classic Cuban and international cuisine.
  • F. None of above. chosen

Provenance (5 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_69bd443fc49c819089629c00e311310c completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7563ad608190879a26a0bf07c3f6 completed March 20, 2026, 4:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba7b87c08190a2581c87f965fa9f completed March 21, 2026, 3:34 p.m.
NEDg Description generation batch_69bebd1572e08190a69d0d2a35a29fc4 completed March 21, 2026, 3:45 p.m.
NED2 Entity disambiguation (via description) batch_69bebe1069248190a767d0effefed515 completed March 21, 2026, 3:49 p.m.
Created at: March 20, 2026, 1:40 p.m.