Triple

T8486136
Position Surface form Disambiguated ID Type / Status
Subject Trash E200835 entity
Predicate portrayedBy P1507 FINISHED
Object Selton Mello
Selton Mello is a Brazilian actor and director known for his acclaimed performances in film and television, including works like "The Clown" and "Lavoura Arcaica."
E736149 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: Selton Mello | Statement: [Trash, portrayedBy, Selton Mello]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Selton Mello
Context triple: [Trash, portrayedBy, Selton Mello]
  • A. Gabriel Basso
    Gabriel Basso is an American actor known for his roles in films like "Super 8" and the Netflix series "The Night Agent."
  • B. Joe Alves
    Joe Alves is an American film production designer, art director, and director best known for his work on major films like Jaws and Close Encounters of the Third Kind.
  • C. Valdir Bündchen
    Valdir Bündchen is a Brazilian public servant and the father of supermodel Gisele Bündchen.
  • D. Tony Almeida
    Tony Almeida is a key fictional Counter Terrorist Unit agent in the television series "24," known for his complex loyalties and evolving role across multiple seasons.
  • E. Luis Krahl
    Luis Krahl is a mountaineer known for making the first recorded ascent of Cerro San Valentín, the highest peak in Chilean Patagonia.
  • 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: Selton Mello
Triple: [Trash, portrayedBy, Selton Mello]
Generated description
Selton Mello is a Brazilian actor and director known for his acclaimed performances in film and television, including works like "The Clown" and "Lavoura Arcaica."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Selton Mello
Target entity description: Selton Mello is a Brazilian actor and director known for his acclaimed performances in film and television, including works like "The Clown" and "Lavoura Arcaica."
  • A. Gabriel Basso
    Gabriel Basso is an American actor known for his roles in films like "Super 8" and the Netflix series "The Night Agent."
  • B. Joe Alves
    Joe Alves is an American film production designer, art director, and director best known for his work on major films like Jaws and Close Encounters of the Third Kind.
  • C. Valdir Bündchen
    Valdir Bündchen is a Brazilian public servant and the father of supermodel Gisele Bündchen.
  • D. Tony Almeida
    Tony Almeida is a key fictional Counter Terrorist Unit agent in the television series "24," known for his complex loyalties and evolving role across multiple seasons.
  • E. Luis Krahl
    Luis Krahl is a mountaineer known for making the first recorded ascent of Cerro San Valentín, the highest peak in Chilean Patagonia.
  • 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_69ca831d7b148190a6e32c1de43ab13b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe53c4d608190a766c0e919a4b96f completed March 31, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce3a45e30c8190838ac499bbc66fbd completed April 2, 2026, 9:43 a.m.
NEDg Description generation batch_69ce3c22f3c0819084803630d438c55e completed April 2, 2026, 9:51 a.m.
NED2 Entity disambiguation (via description) batch_69ce3ca57ec081909a14d962eee2c9a5 completed April 2, 2026, 9:53 a.m.
Created at: March 30, 2026, 6:12 p.m.