Triple

T18397532
Position Surface form Disambiguated ID Type / Status
Subject Siege of Eger (1552) E449906 entity
Predicate notableFigure P4290 FINISHED
Object Dobó István 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: Dobó István | Statement: [Siege of Eger (1552), notableFigure, Dobó István]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dobó István
Context triple: [Siege of Eger (1552), notableFigure, Dobó István]
  • A. István Dobó chosen
    István Dobó was a 16th-century Hungarian military commander best known for leading the successful defense of Eger against the Ottoman siege in 1552.
  • B. Vilmos Gábor
    Vilmos Gábor was the father of Hungarian-American actress and socialite Zsa Zsa Gabor.
  • C. Jenő Bory
    Jenő Bory was a Hungarian architect and sculptor best known for designing and building the eclectic, fairy-tale-like Bory Castle in Székesfehérvár.
  • D. Pál Nagy
    Pál Nagy is a Hungarian name shared by several notable individuals, including figures in fields such as sports, academia, and public life.
  • E. Miklós Lázár
    Miklós Lázár is an actor known for his role in the supernatural crime thriller film "The First Power."
  • 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_69d8b9fab8a8819086a9ddc0871715e0 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e5184777548190818365ee52ac88b7 completed April 19, 2026, 6 p.m.
Created at: April 10, 2026, 10:46 a.m.