Triple

T14146404
Position Surface form Disambiguated ID Type / Status
Subject Behind the Sun E350560 entity
Predicate starring P1507 FINISHED
Object Othon Bastos
Othon Bastos is a Brazilian actor known for his powerful performances in cinema and television, particularly in acclaimed Brazilian films.
E1096162 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: Othon Bastos | Statement: [Behind the Sun, starring, Othon Bastos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Othon Bastos
Context triple: [Behind the Sun, starring, Othon Bastos]
  • A. José Alexandre
    José Alexandre is the birth name of Xanana Gusmão, the prominent East Timorese independence leader and statesman.
  • B. Paulo Assunção
    Paulo Assunção is a retired Brazilian defensive midfielder best known for his successful spell at Atlético Madrid, where he won multiple major trophies.
  • C. Carlos Barbosa
    Carlos Barbosa is a municipality in Brazil’s southern state of Rio Grande do Sul, known for its strong Italian heritage and dairy and metalworking industries.
  • D. José Resende
    José Resende is a Brazilian sculptor known for his innovative use of industrial materials and significant contributions to contemporary art in Brazil.
  • E. Franco da Rocha
    Franco da Rocha is a municipality in the metropolitan region of São Paulo, Brazil, known historically for its psychiatric hospital complex and growing urban development.
  • 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: Othon Bastos
Triple: [Behind the Sun, starring, Othon Bastos]
Generated description
Othon Bastos is a Brazilian actor known for his powerful performances in cinema and television, particularly in acclaimed Brazilian films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Othon Bastos
Target entity description: Othon Bastos is a Brazilian actor known for his powerful performances in cinema and television, particularly in acclaimed Brazilian films.
  • A. José Alexandre
    José Alexandre is the birth name of Xanana Gusmão, the prominent East Timorese independence leader and statesman.
  • B. Paulo Assunção
    Paulo Assunção is a retired Brazilian defensive midfielder best known for his successful spell at Atlético Madrid, where he won multiple major trophies.
  • C. Carlos Barbosa
    Carlos Barbosa is a municipality in Brazil’s southern state of Rio Grande do Sul, known for its strong Italian heritage and dairy and metalworking industries.
  • D. José Resende
    José Resende is a Brazilian sculptor known for his innovative use of industrial materials and significant contributions to contemporary art in Brazil.
  • E. Franco da Rocha
    Franco da Rocha is a municipality in the metropolitan region of São Paulo, Brazil, known historically for its psychiatric hospital complex and growing urban development.
  • 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_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de612266248190a8591b646fe30ae6 completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c27b7088190bd7714391d0536b1 completed May 8, 2026, 2:36 a.m.
NEDg Description generation batch_69fd50122c2881909590104b64c90c43 completed May 8, 2026, 2:53 a.m.
NED2 Entity disambiguation (via description) batch_69fd50892894819084e040cf2e4f205b completed May 8, 2026, 2:55 a.m.
Created at: April 10, 2026, 12:54 a.m.