Triple

T5510728
Position Surface form Disambiguated ID Type / Status
Subject Mário Cravo Júnior E144557 entity
Predicate givenName P17 FINISHED
Object Mário
Mário is a masculine given name of Latin origin, widely used in Portuguese- and Italian-speaking countries.
 E529899 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: Mário | Statement: [Mário Cravo Júnior, givenName, Mário]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mário
Context triple: [Mário Cravo Júnior, givenName, Mário]
  • A. Mario
    Mario is an American R&B singer, songwriter, and occasional actor best known for his early-2000s hits like "Let Me Love You."
  • B. Mario
    Mario is a fictional Italian plumber and the iconic protagonist of Nintendo's long-running Super Mario video game franchise.
  • C. Yoshi
    Yoshi is a friendly, dinosaur-like character from Nintendo’s Mario franchise, known for his long tongue, egg-throwing abilities, and frequent role as Mario’s companion and steed.
  • D. Wario
    Wario is a greedy, mischievous antihero in Nintendo’s Mario franchise, known for his brutish strength, distinctive yellow and purple outfit, and starring role in the Wario Land and WarioWare game series.
  • E. Mario Runco Jr.
    Mario Runco Jr. is a former NASA astronaut and U.S. Navy officer who flew on multiple Space Shuttle missions in the 1990s.
  • 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: Mário
Triple: [Mário Cravo Júnior, givenName, Mário]
Generated description
Mário is a masculine given name of Latin origin, widely used in Portuguese- and Italian-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mário
Target entity description: Mário is a masculine given name of Latin origin, widely used in Portuguese- and Italian-speaking countries.
  • A. Mario
    Mario is an American R&B singer, songwriter, and occasional actor best known for his early-2000s hits like "Let Me Love You."
  • B. Mario
    Mario is a fictional Italian plumber and the iconic protagonist of Nintendo's long-running Super Mario video game franchise.
  • C. Yoshi
    Yoshi is a friendly, dinosaur-like character from Nintendo’s Mario franchise, known for his long tongue, egg-throwing abilities, and frequent role as Mario’s companion and steed.
  • D. Wario
    Wario is a greedy, mischievous antihero in Nintendo’s Mario franchise, known for his brutish strength, distinctive yellow and purple outfit, and starring role in the Wario Land and WarioWare game series.
  • E. Mario Runco Jr.
    Mario Runco Jr. is a former NASA astronaut and U.S. Navy officer who flew on multiple Space Shuttle missions in the 1990s.
  • 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_69c008f6b5048190a09064116062cf69 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f4cbc2c819091fcbff5f39ceeb4 completed March 22, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c027cd14748190bd48d350cfe63603 completed March 22, 2026, 5:33 p.m.
NEDg Description generation batch_69c03cd1650c8190b4673c479e151cf3 completed March 22, 2026, 7:02 p.m.
NED2 Entity disambiguation (via description) batch_69c03d6839dc8190ae05e661c4844211 completed March 22, 2026, 7:05 p.m.
Created at: March 22, 2026, 3:33 p.m.