Triple

T14888306
Position Surface form Disambiguated ID Type / Status
Subject Műcsarnok E359686 entity
Predicate architect P184 FINISHED
Object Albert Schickedanz 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: Albert Schickedanz | Statement: [Műcsarnok, architect, Albert Schickedanz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Albert Schickedanz
Context triple: [Műcsarnok, architect, Albert Schickedanz]
  • A. Albert Schickedanz chosen
    Albert Schickedanz was a Hungarian architect and designer best known for his monumental historicist works in Budapest, including key buildings and ensembles on Andrássy Avenue.
  • B. Charles Bergstresser
    Charles Bergstresser was an American journalist and financier best known as one of the co-founders of The Wall Street Journal.
  • C. Robert Schober
    Robert Schober is a music video director known for creating visually distinctive videos for various rock and alternative artists.
  • D. Carl Hasenauer
    Carl Hasenauer was a prominent 19th-century Austrian architect known for his monumental historicist buildings in Vienna.
  • E. Rudolf Haag
    Rudolf Haag was a German theoretical physicist renowned for his foundational contributions to quantum field theory, particularly in formulating the algebraic approach and rigorous scattering theory.
  • 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_69d827980cbc8190a0c569ae3940a1d9 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69ded5f6cf5c8190b6b28f58fafe5d59 completed April 15, 2026, 12:04 a.m.
Created at: April 10, 2026, 2:08 a.m.