Triple

T7299833
Position Surface form Disambiguated ID Type / Status
Subject John II of Portugal E167817 entity
Predicate givenName P17 FINISHED
Object João E337745 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: João | Statement: [John II of Portugal, givenName, João]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: João
Context triple: [John II of Portugal, givenName, João]
  • A. João chosen
    João is a common Portuguese male given name widely used in Portuguese-speaking countries, equivalent to "John" in English.
  • B. João dos Santos
    João dos Santos is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Santos.
  • C. Sebastião
    Sebastião is the Portuguese variant of the given name Sebastian, commonly used in Portuguese-speaking countries.
  • D. Antônio
    Antônio is the given name of the Brazilian artist known professionally as Tunga, a prominent figure in contemporary sculpture and installation art.
  • E. Gonçalo
    Gonçalo is a Portuguese given name, equivalent to the Spanish name Gonzalo and commonly used for males 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_69c6888c820881909fc68f689fe1c251 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6ebad1b4481909e49ccc580007e4b completed March 27, 2026, 8:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e550645c819085effd46dff60f09 completed March 28, 2026, 2:27 p.m.
Created at: March 27, 2026, 3:01 p.m.