Triple

T9836700
Position Surface form Disambiguated ID Type / Status
Subject Morocco (1930 film) E239119 entity
Predicate musicBy 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: [Morocco (1930 film), musicBy, Karl Hajos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karl Hajos
Context triple: [Morocco (1930 film), musicBy, 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_69ca84e314108190978324a4bdb959f8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb33b07688190b78a70cf535c3efc completed April 2, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1e423ba2c81909a46e56e2b004097 completed April 5, 2026, 4:25 a.m.
Created at: March 30, 2026, 8:33 p.m.