Triple

T22980750
Position Surface form Disambiguated ID Type / Status
Subject Waitin' for My Dearie E571455 entity
Predicate musicBy P1952 FINISHED
Object Frederick Loewe 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: Frederick Loewe | Statement: [Waitin' for My Dearie, musicBy, Frederick Loewe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frederick Loewe
Context triple: [Waitin' for My Dearie, musicBy, Frederick Loewe]
  • A. Frederick Loewe chosen
    Frederick Loewe was a German-American composer best known for his classic Broadway and film musicals, including "My Fair Lady," "Camelot," and "Brigadoon."
  • B. Bernard Newman
    Bernard Newman was an American costume designer best known for his glamorous work in 1930s Hollywood musicals and films.
  • C. Alan Jay Lerner
    Alan Jay Lerner was an American lyricist and librettist best known for his collaborations with composer Frederick Loewe on classic Broadway and film musicals such as "My Fair Lady" and "Camelot."
  • D. Harold Rome
    Harold Rome was an American composer and lyricist best known for his work on Broadway musicals and film scores in the mid-20th century.
  • E. Jule Styne
    Jule Styne was a prolific American composer best known for his Broadway and film musical scores, including classics like "Gypsy" and "Funny Girl."
  • 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_69e245b3c50481908bb3741ec9f40862 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1829589548190863619aebcae026c completed April 29, 2026, 4:01 a.m.
Created at: April 17, 2026, 3:49 p.m.