Triple

T10759791
Position Surface form Disambiguated ID Type / Status
Subject Father Murphy E253793 entity
Predicate hasOpeningThemeComposer P25518 FINISHED
Object David Rose E22943 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: David Rose | Statement: [Father Murphy, hasOpeningThemeComposer, David Rose]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Rose
Context triple: [Father Murphy, hasOpeningThemeComposer, David Rose]
  • A. David Rose chosen
    David Rose was a British-born American composer, arranger, and orchestra leader best known for his work in radio, television, and film music.
  • B. Fred Rose
    Fred Rose was an influential American songwriter and music publisher, best known as a co-founder of Acuff-Rose Publications and for penning numerous country music standards.
  • C. Neal Hefti
    Neal Hefti was an American jazz trumpeter, composer, and arranger best known for his big band work and iconic television and film scores, including the theme for the 1960s Batman series.
  • 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. Leonard Rosenman
    Leonard Rosenman was an American composer best known for his innovative, modernist film and television scores in the 1950s and beyond.
  • 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_69d6aa5f54f4819082d0bbcb6f8797e6 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d72ea21c5081908babc049d0330a75 completed April 9, 2026, 4:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69de84a63de0819085f1e982c8348811 completed April 14, 2026, 6:17 p.m.
Created at: April 8, 2026, 9:16 p.m.