Triple

T5078239
Position Surface form Disambiguated ID Type / Status
Subject Victor Herbert E114450 entity
Predicate name P16 FINISHED
Object Victor Herbert E114450 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: Victor Herbert | Statement: [Victor Herbert, name, Victor Herbert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Victor Herbert
Context triple: [Victor Herbert, name, Victor Herbert]
  • A. Victor Herbert chosen
    Victor Herbert was an influential Irish-American composer, cellist, and conductor best known for his popular operettas in the late 19th and early 20th centuries.
  • B. Herman Hupfeld
    Herman Hupfeld was an American songwriter best known for writing the classic popular song "As Time Goes By," famously featured in the film Casablanca.
  • C. Milton Ager
    Milton Ager was an American songwriter and composer best known for his popular standards of the early 20th century, many of which became enduring hits of the Tin Pan Alley era.
  • D. 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.
  • E. Jerome Moross
    Jerome Moross was an American composer best known for his sweeping, Americana-infused film scores and concert works, particularly in the Western genre.
  • 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_69bd443dbf908190a9401e9c2dc7bd7d completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd74f632788190ac4fd047e1a20485 completed March 20, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb12bd7288190b66ac606aebcabca completed March 21, 2026, 2:54 p.m.
Created at: March 20, 2026, 1:39 p.m.