Triple

T14805666
Position Surface form Disambiguated ID Type / Status
Subject Foreign Land E348027 entity
Predicate castMember P1668 FINISHED
Object Luís Melo
Luís Melo is a Brazilian actor known for his work in television, film, and theater.
E1132247 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: Luís Melo | Statement: [Foreign Land, castMember, Luís Melo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luís Melo
Context triple: [Foreign Land, castMember, Luís Melo]
  • A. José Resende
    José Resende is a Brazilian sculptor known for his innovative use of industrial materials and significant contributions to contemporary art in Brazil.
  • B. Sérgio Machado
    Sérgio Machado is a Brazilian filmmaker and screenwriter known for his work on critically acclaimed films such as "Behind the Sun."
  • C. José Alexandre
    José Alexandre is the birth name of Xanana Gusmão, the prominent East Timorese independence leader and statesman.
  • D. Júlio Resende
    Júlio Resende was a prominent Portuguese painter and visual artist known for his modernist style and significant contributions to public art in Portugal.
  • E. Humberto Sousa Medeiros
    Humberto Sousa Medeiros was a Portuguese-American cardinal of the Roman Catholic Church who led the Archdiocese of Boston during the 1970s and early 1980s.
  • 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: Luís Melo
Triple: [Foreign Land, castMember, Luís Melo]
Generated description
Luís Melo is a Brazilian actor known for his work in television, film, and theater.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Luís Melo
Target entity description: Luís Melo is a Brazilian actor known for his work in television, film, and theater.
  • A. José Resende
    José Resende is a Brazilian sculptor known for his innovative use of industrial materials and significant contributions to contemporary art in Brazil.
  • B. Sérgio Machado
    Sérgio Machado is a Brazilian filmmaker and screenwriter known for his work on critically acclaimed films such as "Behind the Sun."
  • C. José Alexandre
    José Alexandre is the birth name of Xanana Gusmão, the prominent East Timorese independence leader and statesman.
  • D. Júlio Resende
    Júlio Resende was a prominent Portuguese painter and visual artist known for his modernist style and significant contributions to public art in Portugal.
  • E. Humberto Sousa Medeiros
    Humberto Sousa Medeiros was a Portuguese-American cardinal of the Roman Catholic Church who led the Archdiocese of Boston during the 1970s and early 1980s.
  • 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_69d822ea8b7c819097dfadf3d45545e6 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decf32666081908e84f985c47eb963 completed April 14, 2026, 11:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe9685aa5c8190b4e4d82af80f36f8 completed May 9, 2026, 2:05 a.m.
NEDg Description generation batch_69fe9a98784881908aa5d05d0ca43067 completed May 9, 2026, 2:23 a.m.
NED2 Entity disambiguation (via description) batch_69fe9affea6c8190ae9b7cfef959b711 completed May 9, 2026, 2:25 a.m.
Created at: April 10, 2026, 1:34 a.m.