Triple

T13528452
Position Surface form Disambiguated ID Type / Status
Subject Débora Cristiane de Oliveira E323070 entity
Predicate givenName P17 FINISHED
Object Débora
Débora is a Brazilian professional footballer known for her attacking play and technical skill.
 E1047043 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: Débora | Statement: [Débora Cristiane de Oliveira, givenName, Débora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Débora
Context triple: [Débora Cristiane de Oliveira, givenName, Débora]
  • A. Debora
    Debora is a fictional character from the film "Baby Driver," portrayed as the music-loving waitress and love interest of the protagonist.
  • B. Debora
    "Debora" is a 1972 glam rock song by the British band T. Rex, written and performed by frontman Marc Bolan.
  • C. Deborah
    Deborah is a prominent biblical prophetess and judge of Israel known for her leadership and role in delivering the Israelites from Canaanite oppression.
  • D. Deborah
    Deborah is the full given name of American actress and singer Debby Ryan, known for her roles on Disney Channel.
  • E. Deborah
    Deborah is the central character in Harold Pinter’s play "A Kind of Alaska," a woman who awakens from decades-long encephalitic sleep to a disorienting and fragmented reality.
  • 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: Débora
Triple: [Débora Cristiane de Oliveira, givenName, Débora]
Generated description
Débora is a Brazilian professional footballer known for her attacking play and technical skill.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Débora
Target entity description: Débora is a Brazilian professional footballer known for her attacking play and technical skill.
  • A. Debora
    Debora is a fictional character from the film "Baby Driver," portrayed as the music-loving waitress and love interest of the protagonist.
  • B. Debora
    "Debora" is a 1972 glam rock song by the British band T. Rex, written and performed by frontman Marc Bolan.
  • C. Deborah
    Deborah is a prominent biblical prophetess and judge of Israel known for her leadership and role in delivering the Israelites from Canaanite oppression.
  • D. Deborah
    Deborah is the full given name of American actress and singer Debby Ryan, known for her roles on Disney Channel.
  • E. Deborah
    Deborah is the central character in Harold Pinter’s play "A Kind of Alaska," a woman who awakens from decades-long encephalitic sleep to a disorienting and fragmented reality.
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafb8e0cc8190b47f6aeb8ced470e completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d95ce008190a915fe5865c38ee5 completed May 3, 2026, 2:37 p.m.
NEDg Description generation batch_69f75f9c6a8881908a6df0a9a4bbc7ab completed May 3, 2026, 2:45 p.m.
NED2 Entity disambiguation (via description) batch_69f7601770ac8190a03be23cfe66d5d1 completed May 3, 2026, 2:47 p.m.
Created at: April 9, 2026, 9:44 p.m.