Triple

T3030813
Position Surface form Disambiguated ID Type / Status
Subject Tiagu E82888 entity
Predicate hasRelatedName P3889 FINISHED
Object Tiago E17210 NE FINISHED

How this triple was built (2 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: Tiago | Statement: [Tiagu, hasRelatedName, Tiago]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tiago
Context triple: [Tiagu, hasRelatedName, Tiago]
  • A. Tiago chosen
    Tiago is a masculine given name commonly used in Portuguese-speaking countries, often considered a variant of the name James.
  • B. Diogo
    Diogo is a masculine given name, commonly used in Portuguese-speaking countries and related to the name Diego.
  • C. Diego
    Diego is a given name of Spanish origin commonly used in Spanish-speaking countries and beyond.
  • D. Lúcio
    Lúcio is a Brazilian architect and urban planner best known as the principal designer of Brasília, the country’s modernist capital city.
  • E. Sebastião
    Sebastião is the Portuguese variant of the given name Sebastian, commonly used in Portuguese-speaking countries.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69b2034727808190b016223c8ac911c3 completed March 12, 2026, 12:05 a.m.
Created at: March 8, 2026, 3:01 p.m.