Triple

T14281025
Position Surface form Disambiguated ID Type / Status
Subject João Chagas E354046 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: [João Chagas, givenName, João]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: João
Context triple: [João Chagas, 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de697b5e8081908e5b91a3a1c55df9 completed April 14, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd32719ecc8190b57aad5197521359 completed May 8, 2026, 12:46 a.m.
Created at: April 10, 2026, 1:10 a.m.