Triple

T11317855
Position Surface form Disambiguated ID Type / Status
Subject If I Were a Rich Man E268011 entity
Predicate composer P1361 FINISHED
Object Jerry Bock E268005 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: Jerry Bock | Statement: [If I Were a Rich Man, composer, Jerry Bock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jerry Bock
Context triple: [If I Were a Rich Man, composer, Jerry Bock]
  • A. Jerry Bock chosen
    Jerry Bock was an American musical theatre composer best known for his Tony Award-winning score for the landmark Broadway musical "Fiddler on the Roof."
  • B. Carl Sigman
    Carl Sigman was an American songwriter and lyricist known for penning the words to numerous popular standards across mid-20th-century music.
  • C. Mack Gordon
    Mack Gordon was an American lyricist and songwriter renowned for crafting numerous popular standards for film and stage during the 1930s and 1940s.
  • D. Jud Ashman
    Jud Ashman is an American local politician who serves as the mayor of Gaithersburg, Maryland.
  • E. 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.
  • 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9c3cf748190987838029d9f7fff completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e542f294988190bb456326e4184dcb completed April 19, 2026, 9:02 p.m.
Created at: April 8, 2026, 9:32 p.m.