Triple

T1245154
Position Surface form Disambiguated ID Type / Status
Subject Roberto E26746 entity
Predicate hasDiminutiveForm P456 FINISHED
Object Berto E26746 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: Berto | Statement: [Roberto, hasDiminutiveForm, Berto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berto
Context triple: [Roberto, hasDiminutiveForm, Berto]
  • A. Roberto chosen
    Roberto is a masculine given name commonly used in Romance-language countries, equivalent to the English name Robert.
  • B. Oswaldo
    Oswaldo is the given first name of Ozzie Guillén, the Venezuelan former Major League Baseball shortstop and World Series–winning manager.
  • C. 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.
  • D. Gustavo
    Gustavo is a masculine given name commonly used in Spanish- and Portuguese-speaking countries, equivalent to the name Gustaf.
  • E. Jorge
    Jorge is the birth name of Pope Francis, the head of the Roman Catholic Church and the first pope from the Americas.
  • 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_69a4948689d08190b3a4a3f388c02148 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf6498948190b30b09d845d67ac4 completed March 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbf1c90608190a0fa4d3722897966 completed March 8, 2026, 12:13 a.m.
Created at: March 1, 2026, 7:47 p.m.