Triple

T8207621
Position Surface form Disambiguated ID Type / Status
Subject The Virtuous Sin E191725 entity
Predicate hasMusicBy P1952 FINISHED
Object Karl Hajos E404515 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: Karl Hajos | Statement: [The Virtuous Sin, hasMusicBy, Karl Hajos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karl Hajos
Context triple: [The Virtuous Sin, hasMusicBy, Karl Hajos]
  • A. Karl Hajos chosen
    Karl Hajos was a Hungarian-American composer best known for his film scores during the early sound era of Hollywood cinema.
  • B. Alfréd Hajós
    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.
  • C. Laszlo Molnar
    Laszlo Molnar is a software developer and author known for creating the UPX (Ultimate Packer for Executables) executable compression tool.
  • D. Ludwig Ruff
    Ludwig Ruff was a German architect known for his monumental Nazi-era designs, including major projects in Nuremberg.
  • E. Josef Bühler
    Josef Bühler was a high-ranking Nazi official and lawyer who served as State Secretary in the General Government of occupied Poland and played a key role in implementing the Holocaust.
  • 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_69ca82c7f3e08190857bf1fc63b2a10c completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb726d26ec8190957da68227f5ce61 completed March 31, 2026, 7:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccedda69148190b8c221221de5dae5 completed April 1, 2026, 10:05 a.m.
Created at: March 30, 2026, 5:43 p.m.