Triple

T7354211
Position Surface form Disambiguated ID Type / Status
Subject Please Don’t Eat the Daisies E169581 entity
Predicate musicBy P1952 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: [Please Don’t Eat the Daisies, musicBy, David Rose]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Rose
Context triple: [Please Don’t Eat the Daisies, musicBy, 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. Leonard Rosenman
    Leonard Rosenman was an American composer best known for his innovative, modernist film and television scores in the 1950s and beyond.
  • E. Thomas Karns
    Thomas Karns is the individual after whom the entity Karns is named, likely a person of local or historical significance.
  • 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_69c68a59f2288190877ca15c19b1e822 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f10e71fc81909307ca39a61142d3 completed March 27, 2026, 9:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7faa25960819084ecb6dbf9369ba5 completed March 28, 2026, 3:58 p.m.
Created at: March 27, 2026, 3:05 p.m.