Triple

T18728909
Position Surface form Disambiguated ID Type / Status
Subject Lyceum of Kežmarok E457978 entity
Predicate hasNotableAlumni P51 FINISHED
Object Imre Thököly 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: Imre Thököly | Statement: [Lyceum of Kežmarok, hasNotableAlumni, Imre Thököly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Imre Thököly
Context triple: [Lyceum of Kežmarok, hasNotableAlumni, Imre Thököly]
  • A. Imre Thököly chosen
    Imre Thököly was a 17th-century Hungarian nobleman and leader of anti-Habsburg uprisings who briefly ruled parts of Upper Hungary with Ottoman support.
  • B. Lajos Koltai
    Lajos Koltai is a Hungarian cinematographer and film director renowned for his visually expressive work on both European and Hollywood films.
  • C. Miklos Haraszti
    Miklós Haraszti is a Hungarian writer, journalist, and human rights advocate known for his work promoting media freedom and democratic reforms in Central and Eastern Europe.
  • D. Pál Kadosa
    Pál Kadosa was a Hungarian pianist, composer, and influential music educator known for his contributions to 20th-century Hungarian classical music.
  • E. András Hámori
    András Hámori is a Hungarian-Canadian film producer known for his work on international co-productions, including the acclaimed historical drama "Sunshine" (1999).
  • 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_69d8d393ba9c8190a8b03b04ddbb0a09 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e56d759a288190855ade3756e03e04 completed April 20, 2026, 12:04 a.m.
Created at: April 10, 2026, 11:50 a.m.