Triple

T16380034
Position Surface form Disambiguated ID Type / Status
Subject João Tavares E397778 entity
Predicate hasGivenName 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: [João Tavares, hasGivenName, João]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: João
Context triple: [João Tavares, hasGivenName, 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e319db5b648190a8fca23518a1fb39 completed April 18, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0035689ef08190ba980a359498ca56 completed May 10, 2026, 7:36 a.m.
Created at: April 10, 2026, 5:08 a.m.