Triple

T10442668
Position Surface form Disambiguated ID Type / Status
Subject Márta Károlyi E246206 entity
Predicate familyName P18 FINISHED
Object Károlyi E643813 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: Károlyi | Statement: [Márta Károlyi, familyName, Károlyi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Károlyi
Context triple: [Márta Károlyi, familyName, Károlyi]
  • A. Károlyi chosen
    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.
  • B. Miklós
    Miklós is a Hungarian masculine given name, equivalent to Nicholas in English.
  • C. Kálmán
    Kálmán is a Hungarian surname most notably associated with Rudolf E. Kálmán, the pioneering engineer and mathematician behind the Kalman filter.
  • D. Frigyes
    Frigyes is a Hungarian masculine given name, notably borne by the influential mathematician Frigyes Riesz.
  • E. Károly
    Károly is the Hungarian form of the given name Charles, commonly used as a male first name in Hungary.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fdbd731c819084dfff83b4481ae8 completed April 7, 2026, 12:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69d933a2daf481908300a12d0f794e4c completed April 10, 2026, 5:30 p.m.
Created at: April 6, 2026, 12:15 p.m.