Triple

T18377587
Position Surface form Disambiguated ID Type / Status
Subject 1896 Olympics men’s 100 metre freestyle E446356 entity
Predicate goldMedalist P15190 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: [1896 Olympics men’s 100 metre freestyle, goldMedalist, Alfréd Hajós]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alfréd Hajós
Context triple: [1896 Olympics men’s 100 metre freestyle, goldMedalist, 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_69d8b9f370b88190b1e5081c2c238e7f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e5179919c881908d55ea24f93c5827 completed April 19, 2026, 5:57 p.m.
Created at: April 10, 2026, 10:45 a.m.