Triple

T20347313
Position Surface form Disambiguated ID Type / Status
Subject The Day After Tomorrow E495904 entity
Predicate musicBy P1952 FINISHED
Object Harald Kloser 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: Harald Kloser | Statement: [The Day After Tomorrow, musicBy, Harald Kloser]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harald Kloser
Context triple: [The Day After Tomorrow, musicBy, Harald Kloser]
  • A. Harald Kloser chosen
    Harald Kloser is an Austrian composer and film producer best known for his scores for major Hollywood films such as "The Day After Tomorrow" and "2012."
  • B. Hannes Löhr
    Hannes Löhr was a German footballer and later coach, best known as a prolific forward for 1. FC Köln and as a member of the West Germany national team.
  • C. Karsten Mußler
    Karsten Mußler is a German local politician who serves as the mayor of the town of Kuppenheim in Baden-Württemberg.
  • D. Hannes Androsch
    Hannes Androsch is an Austrian industrialist, former Social Democratic politician, and influential public figure who served in high-level government roles before becoming a prominent businessman and economic advisor.
  • E. Paul Rößler
    Paul Rößler was an influential art and design educator associated with the Kunstgewerbeschule Dresden, known for shaping the training of applied artists in early 20th-century Germany.
  • 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_69e0b4a3320881909495ae8bc30bc2dc completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67839e7b48190876ce7133a20c65b completed April 20, 2026, 7:02 p.m.
Created at: April 16, 2026, 11:24 a.m.