Triple

T1245153
Position Surface form Disambiguated ID Type / Status
Subject Roberto E26746 entity
Predicate hasDiminutiveForm P456 FINISHED
Object Beto E103767 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: Beto | Statement: [Roberto, hasDiminutiveForm, Beto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beto
Context triple: [Roberto, hasDiminutiveForm, Beto]
  • A. Jair
    Jair is a minor biblical judge of Israel mentioned in the Book of Judges, known for his leadership and his thirty sons who rode thirty donkeys and controlled thirty towns.
  • B. Darlan
    Darlan is a French surname most notably associated with François Darlan, a prominent admiral and political figure in Vichy France during World War II.
  • C. Marcelo chosen
    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. Mariano
    Mariano is a masculine given name of Spanish and Portuguese origin, commonly used in various Spanish-speaking and Latin cultures.
  • E. Oswaldo
    Oswaldo is the given first name of Ozzie Guillén, the Venezuelan former Major League Baseball shortstop and World Series–winning manager.
  • 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_69ac8f7da5c48190b013f1578c160d78 completed March 7, 2026, 8:50 p.m.
Created at: March 1, 2026, 7:47 p.m.