Triple

T14604105
Position Surface form Disambiguated ID Type / Status
Subject Only a Rose E342781 entity
Predicate musicBy P1952 FINISHED
Object Rudolf Friml E68358 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: Rudolf Friml | Statement: [Only a Rose, musicBy, Rudolf Friml]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rudolf Friml
Context triple: [Only a Rose, musicBy, Rudolf Friml]
  • A. Rudolf Friml chosen
    Rudolf Friml was a Czech-American composer best known for his operettas and popular songs in early 20th-century musical theatre.
  • B. Franz Lehár
    Franz Lehár was an Austro-Hungarian composer best known as a leading figure of operetta in the early 20th century, particularly for his internationally successful stage works.
  • C. Anton Karas
    Anton Karas was an Austrian zither player and composer best known for his iconic zither score for the film "The Third Man."
  • D. Ernst Krenek
    Ernst Krenek was an Austrian-born composer known for his stylistic versatility, including atonal and twelve-tone works, and for his influential role in 20th-century modernist music.
  • E. Sigmund Romberg
    Sigmund Romberg was a Hungarian-American composer best known for his popular operettas and musical theatre works on Broadway in the early 20th century.
  • 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb44bf67c8190b4c48a7715f9443e completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed318aa908190a59b0def01a9cb16 completed May 9, 2026, 6:24 a.m.
Created at: April 10, 2026, 1:25 a.m.