Triple

T14285330
Position Surface form Disambiguated ID Type / Status
Subject Máté E354156 entity
Predicate hasVariant P455 FINISHED
Object Mátyás E786434 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: Mátyás | Statement: [Máté, hasVariant, Mátyás]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mátyás
Context triple: [Máté, hasVariant, Mátyás]
  • A. Mátyás chosen
    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.
  • B. Károly
    Károly is the Hungarian form of the given name Charles, commonly used as a male first name in Hungary.
  • C. Michael II Apafi
    Michael II Apafi was a late 17th-century noble who briefly ruled as the last semi-autonomous prince of Transylvania under increasing Habsburg influence.
  • D. Stephen V of Hungary
    Stephen V of Hungary was a 13th-century King of Hungary and Croatia known for his short, turbulent reign marked by internal noble conflicts and struggles to maintain royal authority.
  • E. Michael I Apafi
    Michael I Apafi was a 17th-century Prince of Transylvania known for navigating the principality through a complex period of Ottoman and Habsburg influence.
  • 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de697ef40c8190bea37724b28c2e99 completed April 14, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a31ef388190bc3082abc1c25ff4 completed May 8, 2026, 5:52 a.m.
Created at: April 10, 2026, 1:10 a.m.