Triple

T6812545
Position Surface form Disambiguated ID Type / Status
Subject Mykola E156670 entity
Predicate hasVariant P455 FINISHED
Object Nikola E2843 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: Nikola | Statement: [Mykola, hasVariant, Nikola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nikola
Context triple: [Mykola, hasVariant, Nikola]
  • A. Dane Tesla
    Dane Tesla was the eldest son of inventor Nikola Tesla’s father, Milutin Tesla, who died in a childhood accident that deeply affected the Tesla family.
  • B. Milutin Tesla
    Milutin Tesla was the father of inventor Nikola Tesla, a Serbian Orthodox priest known for his influence on Nikola’s early education and upbringing.
  • C. Nikola Tesla chosen
    Nikola Tesla was a pioneering Serbian-American inventor and electrical engineer best known for his contributions to alternating current (AC) power systems and numerous innovations in electromagnetism.
  • D. Georgina Đuka Tesla
    Georgina Đuka Tesla was the mother of inventor Nikola Tesla and the wife of Serbian Orthodox priest Milutin Tesla, known for her remarkable memory and inventive household tools.
  • E. Alexanderson
    Alexanderson is a Swedish-origin surname most notably associated with engineer Ernst Alexanderson, a pioneer in early radio and television technology.
  • 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_69c68828b26c819090fe9df7612bbc27 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d329861881909f65bd1017ea384b completed March 27, 2026, 6:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723d775a48190bfdf5b6a52339833 completed March 28, 2026, 12:41 a.m.
Created at: March 27, 2026, 2:17 p.m.