Triple

T14148428
Position Surface form Disambiguated ID Type / Status
Subject Szoborpark E350611 entity
Predicate creator P184 FINISHED
Object Eleőd Ákos E354804 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: Eleőd Ákos | Statement: [Szoborpark, creator, Eleőd Ákos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eleőd Ákos
Context triple: [Szoborpark, creator, Eleőd Ákos]
  • A. Ákos Eleőd chosen
    Ákos Eleőd is a Hungarian architect best known for designing Budapest’s Memento Park, an open-air museum dedicated to statues and monuments from the country’s communist era.
  • B. Árpád Tóth
    Árpád Tóth was a Hungarian poet known for his lyrical, melancholic verse in the early 20th century.
  • C. Vilmos Gábor
    Vilmos Gábor was the father of Hungarian-American actress and socialite Zsa Zsa Gabor.
  • D. József Takács
    József Takács is a Hungarian footballer known for his contributions to early 20th-century Hungarian club and national teams.
  • E. László Papp
    László Papp was a legendary Hungarian boxer who became the first boxer to win three consecutive Olympic gold medals.
  • 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_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61237ef481909374c1f68a2370b7 completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4672bac8819085794c2554bd6e75 completed May 8, 2026, 2:12 a.m.
Created at: April 10, 2026, 12:55 a.m.