Triple

T14348680
Position Surface form Disambiguated ID Type / Status
Subject Kerepesi Cemetery E355794 entity
Predicate notableBurials P3803 FINISHED
Object Imre Nagy E37058 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: Imre Nagy | Statement: [Kerepesi Cemetery, notableBurials, Imre Nagy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Imre Nagy
Context triple: [Kerepesi Cemetery, notableBurials, Imre Nagy]
  • A. Imre Nagy chosen
    Imre Nagy was a Hungarian communist politician and reformist prime minister who became the symbolic leader of the 1956 uprising against Soviet control and was later executed for his role in the revolt.
  • B. Tamás Nagy
    Tamás Nagy is a Hungarian given name–surname combination shared by several notable individuals, including athletes, artists, and public figures.
  • C. Viktor Nagy
    Viktor Nagy is a Hungarian water polo goalkeeper known for representing Hungary in multiple international competitions, including World Championships and the Olympic Games.
  • D. István Nagy
    István Nagy is a common Hungarian name shared by several notable figures, including politicians, artists, and academics.
  • E. Ferenc Nagy
    Ferenc Nagy was a Hungarian politician who served as Prime Minister of Hungary from 1946 to 1947 during the early post-World War II period.
  • 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8e8d081c8190ac805726a3e98f4c completed April 14, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd46a12ad08190a2f0dc5890ed5ce9 completed May 8, 2026, 2:12 a.m.
Created at: April 10, 2026, 1:14 a.m.