Triple

T1932135
Position Surface form Disambiguated ID Type / Status
Subject Botafogo FR E40968 entity
Predicate notablePlayer P304 FINISHED
Object Amarildo
Amarildo is a former Brazilian footballer best known as a forward who starred for Botafogo and the Brazil national team in the early 1960s.
 E235361 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: Amarildo | Statement: [Botafogo FR, notablePlayer, Amarildo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Amarildo
Context triple: [Botafogo FR, notablePlayer, Amarildo]
  • A. Plácido
    Plácido is the given name of the renowned Spanish operatic tenor and conductor Plácido Domingo.
  • B. Baltasar
    Baltasar is a variant of the name Belshazzar, historically associated with the last king of Babylon mentioned in the biblical Book of Daniel.
  • C. Timoteo
    Timoteo is a masculine given name, commonly used in Romance-language countries, derived from the biblical name Timothy.
  • D. Athos Bulcão
    Athos Bulcão was a Brazilian artist renowned for his modernist tile panels and public art that became iconic elements of Brasília’s architectural landscape.
  • E. Eugenio
    Eugenio is a masculine given name of Greek origin, commonly used in Spanish- and Italian-speaking 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: Amarildo
Triple: [Botafogo FR, notablePlayer, Amarildo]
Generated description
Amarildo is a former Brazilian footballer best known as a forward who starred for Botafogo and the Brazil national team in the early 1960s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Amarildo
Target entity description: Amarildo is a former Brazilian footballer best known as a forward who starred for Botafogo and the Brazil national team in the early 1960s.
  • A. Plácido
    Plácido is the given name of the renowned Spanish operatic tenor and conductor Plácido Domingo.
  • B. Baltasar
    Baltasar is a variant of the name Belshazzar, historically associated with the last king of Babylon mentioned in the biblical Book of Daniel.
  • C. Timoteo
    Timoteo is a masculine given name, commonly used in Romance-language countries, derived from the biblical name Timothy.
  • D. Athos Bulcão
    Athos Bulcão was a Brazilian artist renowned for his modernist tile panels and public art that became iconic elements of Brasília’s architectural landscape.
  • E. Eugenio
    Eugenio is a masculine given name of Greek origin, commonly used in Spanish- and Italian-speaking 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_69a8864711648190b07bed24ed76258e completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb297ec2c819092ad62d72005223d completed March 7, 2026, 5:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae3044b25c81908a7ebbc6e62a8053 completed March 9, 2026, 2:28 a.m.
NEDg Description generation batch_69ae344656348190ad75c06926470706 completed March 9, 2026, 2:45 a.m.
NED2 Entity disambiguation (via description) batch_69ae349e8f9c8190a22350eebee73e83 completed March 9, 2026, 2:46 a.m.
Created at: March 4, 2026, 7:35 p.m.