Triple

T20916555
Position Surface form Disambiguated ID Type / Status
Subject Esaú e Jacó E515087 entity
Predicate mainCharacters P9202 FINISHED
Object Paulo 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: Paulo | Statement: [Esaú e Jacó, mainCharacters, Paulo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paulo
Context triple: [Esaú e Jacó, mainCharacters, Paulo]
  • A. Paulo
    Paulo is the central character in Paulo Coelho’s novel "The Valkyries," whose spiritual journey through the Mojave Desert explores themes of faith, love, and self-discovery.
  • B. Paulo
    Paulo is a given name most notably associated with Brazilian educator and philosopher Paulo Freire, a leading figure in critical pedagogy.
  • C. Paolo
    Paolo is the Italian form of the given name Paul, commonly used in Italy and other Italian-speaking communities.
  • D. Reinaldo
    Reinaldo is a masculine given name of Spanish and Portuguese origin, equivalent to "Reynaldo" or "Reinald" in English.
  • E. Marcelo
    Marcelo is a common Portuguese and Spanish given name, notably borne by figures such as Brazilian footballer Marcelo Vieira and former Portuguese Prime Minister Marcelo Caetano.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69e0b4f9d5ec8190bb2bd27350ed341c completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6ec635f4881909a560fb891100d8c completed April 21, 2026, 3:17 a.m.
Created at: April 16, 2026, 12:48 p.m.