Triple

T21330033
Position Surface form Disambiguated ID Type / Status
Subject Béla III of Hungary E525873 entity
Predicate givenName P17 FINISHED
Object Béla 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: Béla | Statement: [Béla III of Hungary, givenName, Béla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Béla
Context triple: [Béla III of Hungary, givenName, Béla]
  • A. Béla chosen
    Béla was a common medieval Hungarian royal given name borne by several kings, most notably Béla IV of Hungary.
  • B. Zoltán
    Zoltán was an early medieval Hungarian ruler, traditionally regarded as one of the first princes of the Principality of Hungary and a successor in the Árpád dynasty.
  • C. Lajos
    Lajos is a Hungarian masculine given name commonly used in Central and Eastern Europe.
  • D. György
    György is a Hungarian given name commonly used for men, equivalent to the English name George.
  • E. András
    András is the Hungarian given name of Andrew S. Grove, the influential former CEO and co-founder of Intel.
  • 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_69e0b51b90788190a4dd823d962626da completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7ab5076f48190a9c89c7de4741779 completed April 21, 2026, 4:52 p.m.
Created at: April 16, 2026, 4:42 p.m.