Triple

T19397632
Position Surface form Disambiguated ID Type / Status
Subject Arnold Guttmann E485234 entity
Predicate alsoKnownAs P39 FINISHED
Object Alfréd Hajós 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: Alfréd Hajós | Statement: [Arnold Guttmann, alsoKnownAs, Alfréd Hajós]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alfréd Hajós
Context triple: [Arnold Guttmann, alsoKnownAs, Alfréd Hajós]
  • A. Alfréd Hajós chosen
    Alfréd Hajós was a Hungarian swimmer and architect who became one of the first modern Olympic champions by winning multiple gold medals at the inaugural 1896 Games.
  • B. Karl Hajos
    Karl Hajos was a Hungarian-American composer best known for his film scores during the early sound era of Hollywood cinema.
  • C. Theodor Pallady
    Theodor Pallady was a Romanian painter known for his modernist style and refined still lifes and interiors, considered one of the most important Romanian artists of the early 20th century.
  • D. Laszlo Molnar
    Laszlo Molnar is a software developer and author known for creating the UPX (Ultimate Packer for Executables) executable compression tool.
  • E. Kálmán Giergl
    Kálmán Giergl was a Hungarian architect of the late 19th and early 20th centuries, known for his prominent contributions to Budapest’s historic cityscape.
  • 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_69d8e8d5162481909db12435d9535c1a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e62574edd08190b5456108d5e3907e completed April 20, 2026, 1:09 p.m.
Created at: April 10, 2026, 1:36 p.m.