Triple

T20484394
Position Surface form Disambiguated ID Type / Status
Subject Bory Castle E502546 entity
Predicate namedAfter P63 FINISHED
Object Jenő Bory 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: Jenő Bory | Statement: [Bory Castle, namedAfter, Jenő Bory]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jenő Bory
Context triple: [Bory Castle, namedAfter, Jenő Bory]
  • A. Jenő Bory chosen
    Jenő Bory was a Hungarian architect and sculptor best known for designing and building the eclectic, fairy-tale-like Bory Castle in Székesfehérvár.
  • B. György Barkó
    György Barkó is a Romanian-Hungarian actor known for his work in Central European cinema and theater.
  • C. Gyula Fehér
    Gyula Fehér is a technology entrepreneur best known as a co-founder of the live video streaming platform Ustream.
  • D. Ernő Gerő
    Ernő Gerő was a hardline Hungarian communist leader and brief de facto head of state whose intransigent policies and actions helped trigger the 1956 Hungarian Revolution.
  • E. Károly Mécs
    Károly Mécs is a Hungarian actor known for his work in film and theater, including roles in internationally recognized European productions.
  • 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_69e0b4af32848190aea80682b44d5d6e completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69b59ae2c8190bfa26a3f1e59b8d1 completed April 20, 2026, 9:32 p.m.
Created at: April 16, 2026, 11:34 a.m.