Triple

T19988124
Position Surface form Disambiguated ID Type / Status
Subject João dos Santos E493985 entity
Predicate name P16 FINISHED
Object João dos Santos NE NERFINISHED

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 dos Santos | Statement: [João dos Santos, name, João dos Santos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: João dos Santos
Context triple: [João dos Santos, name, João dos Santos]
  • A. João dos Santos chosen
    João dos Santos is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Santos.
  • B. João da Costa
    João da Costa is a Portuguese-language personal name shared by several individuals, most commonly associated with people from Portuguese-speaking countries such as Portugal and Brazil.
  • C. José da Costa
    José da Costa is a personal name of Portuguese origin borne by various individuals, typically from Portuguese-speaking countries.
  • D. Santos de Carvalho
    Santos de Carvalho was a Portuguese architect known for his work on prominent 19th-century Lisbon landmarks, including the monumental Arco da Rua Augusta.
  • E. Antão Gonçalves
    Antão Gonçalves was a 15th-century Portuguese navigator and explorer who took part in early Atlantic voyages that helped initiate Portugal’s Age of Discovery.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da626a67648190af9653832a3aeced completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65fddfee081909aa8cd6e279b2a7a completed April 20, 2026, 5:18 p.m.
Created at: April 11, 2026, 3:30 p.m.