Triple

T3030812
Position Surface form Disambiguated ID Type / Status
Subject Tiagu E82888 entity
Predicate hasRelatedName P3889 FINISHED
Object Thiago
Thiago is a masculine given name of Portuguese origin, commonly used in Brazil and other Portuguese-speaking countries.
 E320522 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: Thiago | Statement: [Tiagu, hasRelatedName, Thiago]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Thiago
Context triple: [Tiagu, hasRelatedName, Thiago]
  • A. Vinicius
    Vinicius is the yellow, cat-like official mascot of the Rio 2016 Summer Olympics, representing the diverse wildlife and vibrant culture of Brazil.
  • B. Álvaro
    Álvaro is a masculine given name of Spanish origin commonly used in Spain and Latin America.
  • C. Guilherme Leal
    Guilherme Leal is a Brazilian businessman, co-founder of the cosmetics company Natura, and a prominent environmental and social activist.
  • D. Marcelo
    Marcelo is a common Portuguese and Spanish given name, notably borne by figures such as Brazilian footballer Marcelo Vieira and former Portuguese Prime Minister Marcelo Caetano.
  • E. Feliciano
    Feliciano is a given name of Latin origin, commonly used in Romance-language countries and related to the name Felix.
  • 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: Thiago
Triple: [Tiagu, hasRelatedName, Thiago]
Generated description
Thiago is a masculine given name of Portuguese origin, commonly used in Brazil and other Portuguese-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Thiago
Target entity description: Thiago is a masculine given name of Portuguese origin, commonly used in Brazil and other Portuguese-speaking countries.
  • A. Vinicius
    Vinicius is the yellow, cat-like official mascot of the Rio 2016 Summer Olympics, representing the diverse wildlife and vibrant culture of Brazil.
  • B. Álvaro
    Álvaro is a masculine given name of Spanish origin commonly used in Spain and Latin America.
  • C. Guilherme Leal
    Guilherme Leal is a Brazilian businessman, co-founder of the cosmetics company Natura, and a prominent environmental and social activist.
  • D. Marcelo
    Marcelo is a common Portuguese and Spanish given name, notably borne by figures such as Brazilian footballer Marcelo Vieira and former Portuguese Prime Minister Marcelo Caetano.
  • E. Feliciano
    Feliciano is a given name of Latin origin, commonly used in Romance-language countries and related to the name Felix.
  • 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_69ad8b21a62881908ec5dd4fba4a187c completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9aee2fec81908116939a8d773fc4 completed March 8, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1debd245c819081eb2dec470f9156 completed March 11, 2026, 9:29 p.m.
NEDg Description generation batch_69b1dfc77c1881909688d5037682fa01 completed March 11, 2026, 9:33 p.m.
NED2 Entity disambiguation (via description) batch_69b1e03121148190840fc48a50c4ec0e completed March 11, 2026, 9:35 p.m.
Created at: March 8, 2026, 3:01 p.m.