Triple

T5510729
Position Surface form Disambiguated ID Type / Status
Subject Mário Cravo Júnior E144557 entity
Predicate familyName P18 FINISHED
Object Cravo
Cravo is a Portuguese-language surname most notably associated with Brazilian sculptor and engraver Mário Cravo Júnior.
 E529900 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: Cravo | Statement: [Mário Cravo Júnior, familyName, Cravo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cravo
Context triple: [Mário Cravo Júnior, familyName, Cravo]
  • A. Macaxeira
    Macaxeira is a neighborhood in the city of Recife, Brazil.
  • B. Batuque
    Batuque is an Afro-Brazilian religious tradition that blends West African (especially Yoruba) spiritual practices with elements of Catholicism and Indigenous beliefs, centered on the worship of orixás through music, dance, and ritual.
  • C. Gutar
    Gutar are the historical inhabitants of the Swedish island of Gotland, known from medieval sources such as the Gutasaga for their distinct culture, laws, and extensive Baltic Sea trade.
  • D. Cajueiro
    Cajueiro is a neighborhood within the city of Recife in northeastern Brazil.
  • E. Bandurria
    Bandurria is an ancient preceramic archaeological site on Peru’s central coast, notable for its early monumental architecture and role in the development of Andean civilization.
  • 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: Cravo
Triple: [Mário Cravo Júnior, familyName, Cravo]
Generated description
Cravo is a Portuguese-language surname most notably associated with Brazilian sculptor and engraver Mário Cravo Júnior.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cravo
Target entity description: Cravo is a Portuguese-language surname most notably associated with Brazilian sculptor and engraver Mário Cravo Júnior.
  • A. Macaxeira
    Macaxeira is a neighborhood in the city of Recife, Brazil.
  • B. Batuque
    Batuque is an Afro-Brazilian religious tradition that blends West African (especially Yoruba) spiritual practices with elements of Catholicism and Indigenous beliefs, centered on the worship of orixás through music, dance, and ritual.
  • C. Gutar
    Gutar are the historical inhabitants of the Swedish island of Gotland, known from medieval sources such as the Gutasaga for their distinct culture, laws, and extensive Baltic Sea trade.
  • D. Cajueiro
    Cajueiro is a neighborhood within the city of Recife in northeastern Brazil.
  • E. Bandurria
    Bandurria is an ancient preceramic archaeological site on Peru’s central coast, notable for its early monumental architecture and role in the development of Andean civilization.
  • 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_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.
NEDg Description generation batch_69c03cd1650c8190b4673c479e151cf3 completed March 22, 2026, 7:02 p.m.
NED2 Entity disambiguation (via description) batch_69c03d6839dc8190ae05e661c4844211 completed March 22, 2026, 7:05 p.m.
Created at: March 22, 2026, 3:33 p.m.