Triple

T21532007
Position Surface form Disambiguated ID Type / Status
Subject Ademir de Menezes E531251 entity
Predicate nickName P2937 FINISHED
Object Queixada
Queixada was the nickname of Ademir de Menezes, a prominent Brazilian footballer and prolific striker who starred for Brazil in the 1950 World Cup.
 E1489175 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: Queixada | Statement: [Ademir de Menezes, nickName, Queixada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Queixada
Context triple: [Ademir de Menezes, nickName, Queixada]
  • A. Querejeta
    Querejeta is a Spanish surname notably associated with figures in Spanish cinema, including acclaimed film director and screenwriter Gracia Querejeta.
  • B. Escuñau
    Escuñau is a small village in the municipality of Vielha e Mijaran in the Val d'Aran region of Catalonia, Spain.
  • C. La Peineta
    La Peineta was a former athletics and football stadium in Madrid that served as the precursor to the modern Cívitas Metropolitano, home of Atlético Madrid.
  • D. Frasqueira
    Frasqueira is a premium category of Madeira wine denoting long-aged, high-quality vintage bottlings.
  • E. Urqueira
    Urqueira is a small locality or parish within the municipality of Ourém in central Portugal.
  • 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: Queixada
Triple: [Ademir de Menezes, nickName, Queixada]
Generated description
Queixada was the nickname of Ademir de Menezes, a prominent Brazilian footballer and prolific striker who starred for Brazil in the 1950 World Cup.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Queixada
Target entity description: Queixada was the nickname of Ademir de Menezes, a prominent Brazilian footballer and prolific striker who starred for Brazil in the 1950 World Cup.
  • A. Querejeta
    Querejeta is a Spanish surname notably associated with figures in Spanish cinema, including acclaimed film director and screenwriter Gracia Querejeta.
  • B. Escuñau
    Escuñau is a small village in the municipality of Vielha e Mijaran in the Val d'Aran region of Catalonia, Spain.
  • C. La Peineta
    La Peineta was a former athletics and football stadium in Madrid that served as the precursor to the modern Cívitas Metropolitano, home of Atlético Madrid.
  • D. Frasqueira
    Frasqueira is a premium category of Madeira wine denoting long-aged, high-quality vintage bottlings.
  • E. Urqueira
    Urqueira is a small locality or parish within the municipality of Ourém in central Portugal.
  • 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_69e0c45e5b8881908ac18fc2f493b114 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee9d0a0e7c8190bbb7ed5c4dfe33af completed April 26, 2026, 11:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a09e83156f48190aa472ffa77a4de57 completed May 17, 2026, 4:09 p.m.
NEDg Description generation batch_6a09e8d6d1a88190b3f48111ed6a4043 completed May 17, 2026, 4:12 p.m.
NED2 Entity disambiguation (via description) batch_6a09e94d6f2c819097df5c0a2b59e63a completed May 17, 2026, 4:14 p.m.
Created at: April 16, 2026, 6:27 p.m.