Triple

T13125832
Position Surface form Disambiguated ID Type / Status
Subject Karcsi E311839 entity
Predicate isDiminutiveOf P456 FINISHED
Object Károly E79472 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: Károly | Statement: [Karcsi, isDiminutiveOf, Károly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Károly
Context triple: [Karcsi, isDiminutiveOf, Károly]
  • A. Károly chosen
    Károly is the Hungarian form of the given name Charles, commonly used as a male first name in Hungary.
  • B. Kálmán
    Kálmán is a Hungarian surname most notably associated with Rudolf E. Kálmán, the pioneering engineer and mathematician behind the Kalman filter.
  • C. Károlyi
    Károlyi is a Hungarian noble family name most prominently associated with Mihály Károlyi, a key political figure and leader during Hungary’s transition after World War I.
  • D. Mátyás
    Mátyás is a Hungarian given name most notably borne by Mátyás Rákosi, the communist leader who dominated Hungary’s politics in the early Cold War era.
  • E. Peter Karl Ott von Bátorkéz
    Peter Karl Ott von Bátorkéz was an Austrian general of the late 18th and early 19th centuries who served prominently in the French Revolutionary and Napoleonic Wars.
  • 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_69d806a9fe888190b081e2d9ea665d6c completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9819946808190b41335fb1054accd completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f70a25c3b4819090511525babcd2ba completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 9:07 p.m.