Triple

T11273750
Position Surface form Disambiguated ID Type / Status
Subject Vavá E266877 entity
Predicate givenName P17 FINISHED
Object Edvaldo
Edvaldo is the given first name of the Brazilian footballer widely known by his nickname Vavá.
E916851 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: Edvaldo | Statement: [Vavá, givenName, Edvaldo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edvaldo
Context triple: [Vavá, givenName, Edvaldo]
  • A. Salvio Pacheco
    Salvio Pacheco was a 19th-century Californio ranchero and landowner whose legacy includes the founding and namesake of the city of Pacheco, California.
  • B. Heitor Pereira
    Heitor Pereira is a Brazilian composer and musician best known for his film scores, particularly for animated features such as the Despicable Me series.
  • C. Waldir Pereira
    Waldir Pereira, better known as Didi, was a legendary Brazilian footballer renowned as one of the greatest midfielders in history and a key figure in Brazil’s 1958 and 1962 World Cup victories.
  • D. Aloísio
    Aloísio is a masculine given name commonly used in Portuguese-speaking countries, borne by various notable figures in religion, sports, and public life.
  • E. Sérgio
    Sérgio is a Portuguese given name commonly used in Brazil and other Lusophone countries.
  • 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: Edvaldo
Triple: [Vavá, givenName, Edvaldo]
Generated description
Edvaldo is the given first name of the Brazilian footballer widely known by his nickname Vavá.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Edvaldo
Target entity description: Edvaldo is the given first name of the Brazilian footballer widely known by his nickname Vavá.
  • A. Salvio Pacheco
    Salvio Pacheco was a 19th-century Californio ranchero and landowner whose legacy includes the founding and namesake of the city of Pacheco, California.
  • B. Heitor Pereira
    Heitor Pereira is a Brazilian composer and musician best known for his film scores, particularly for animated features such as the Despicable Me series.
  • C. Waldir Pereira
    Waldir Pereira, better known as Didi, was a legendary Brazilian footballer renowned as one of the greatest midfielders in history and a key figure in Brazil’s 1958 and 1962 World Cup victories.
  • D. Aloísio
    Aloísio is a masculine given name commonly used in Portuguese-speaking countries, borne by various notable figures in religion, sports, and public life.
  • E. Sérgio
    Sérgio is a Portuguese given name commonly used in Brazil and other Lusophone countries.
  • 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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e965c9048190804ebb48f0a4817b completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e50a0edcd081908547745d16d643ab completed April 19, 2026, 4:59 p.m.
NEDg Description generation batch_69e510f7bec08190989118b6e4a7fa49 completed April 19, 2026, 5:29 p.m.
NED2 Entity disambiguation (via description) batch_69e5168c8da0819093bf61d8ea5f9e35 completed April 19, 2026, 5:53 p.m.
Created at: April 8, 2026, 9:31 p.m.