Triple

T21127080
Position Surface form Disambiguated ID Type / Status
Subject Julius Pokorny E520584 entity
Predicate hasFamilyName P18 FINISHED
Object Pokorny 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: Pokorny | Statement: [Julius Pokorny, hasFamilyName, Pokorny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pokorny
Context triple: [Julius Pokorny, hasFamilyName, Pokorny]
  • A. Pokorny chosen
    Pokorny is a surname of Central European origin, notably borne by the Austrian-Celtic linguist Julius Pokorny.
  • B. Plotnitsky
    Plotnitsky is a surname most notably associated with Igor Plotnitsky, a scholar known for his work in literary theory, philosophy, and the study of science and mathematics.
  • C. Pavka
    Pavka is a diminutive or affectionate nickname commonly used for the Slavic given name Pavel.
  • D. Kasha Kropinski
    Kasha Kropinski is a South African-born actress best known for her role as Ruth Cole on the American Western television series "Hell on Wheels."
  • E. Brunonek
    Brunonek is a Polish diminutive form of the male given name Brunon, typically used as an affectionate or familiar nickname.
  • 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_69e0b50a623881909c0bbaf4f2c055e7 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72239965c819081b4077b914d0a98 completed April 21, 2026, 7:07 a.m.
Created at: April 16, 2026, 2:56 p.m.