Triple

T22991594
Position Surface form Disambiguated ID Type / Status
Subject Flávio Dino E572062 entity
Predicate givenName P17 FINISHED
Object Flávio
Flávio is a common Portuguese given name, widely used in Brazil and other Lusophone countries.
E310366 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: Flávio | Statement: [Flávio Dino, givenName, Flávio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flávio
Context triple: [Flávio Dino, givenName, Flávio]
  • A. Flávio
    Flávio is a Brazilian entrepreneur best known as the founder of the language school franchise Wise Up and former owner of the MLS soccer club Orlando City SC.
  • B. Flávio Augusto da Silva
    Flávio Augusto da Silva is a Brazilian entrepreneur and investor best known for founding the language school franchise Wise Up and for his former ownership of the MLS club Orlando City SC.
  • C. Fabrício
    Fabrício is the given name of Fabrício Werdum, a Brazilian mixed martial artist and former UFC heavyweight champion.
  • D. Sílvio
    Sílvio is a masculine given name of Portuguese origin, commonly used in Portuguese-speaking countries.
  • E. Lélio
    Lélio is a melodramatic monodrama with orchestra by Hector Berlioz that blends spoken narration, music, and theatrical elements as a sequel to his Symphonie fantastique.
  • 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: Flávio
Triple: [Flávio Dino, givenName, Flávio]
Generated description
Flávio is a common Portuguese given name, widely used in Brazil and other Lusophone countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Flávio
Target entity description: Flávio is a common Portuguese given name, widely used in Brazil and other Lusophone countries.
  • A. Flávio
    Flávio is a Brazilian entrepreneur best known as the founder of the language school franchise Wise Up and former owner of the MLS soccer club Orlando City SC.
  • B. Flávio Augusto da Silva chosen
    Flávio Augusto da Silva is a Brazilian entrepreneur and investor best known for founding the language school franchise Wise Up and for his former ownership of the MLS club Orlando City SC.
  • C. Fabrício
    Fabrício is the given name of Fabrício Werdum, a Brazilian mixed martial artist and former UFC heavyweight champion.
  • D. Sílvio
    Sílvio is a masculine given name of Portuguese origin, commonly used in Portuguese-speaking countries.
  • E. Lélio
    Lélio is a melodramatic monodrama with orchestra by Hector Berlioz that blends spoken narration, music, and theatrical elements as a sequel to his Symphonie fantastique.
  • F. None of above.

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_69e245b535808190adef8a9df3c584db completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f182eefd688190853977421540b2ce completed April 29, 2026, 4:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bd37b1a0c819086bf665e96c2a540 completed May 19, 2026, 3:05 a.m.
NEDg Description generation batch_6a0bd44a4434819093871158e49bafbc completed May 19, 2026, 3:08 a.m.
NED2 Entity disambiguation (via description) batch_6a0bd4e53024819084592e995cc902e7 completed May 19, 2026, 3:11 a.m.
Created at: April 17, 2026, 3:50 p.m.