Triple

T5434794
Position Surface form Disambiguated ID Type / Status
Subject The Stripper E121980 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: [The Stripper, musicBy, David Rose]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Rose
Context triple: [The Stripper, 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_69bd46400768819092925d461c0b8432 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91af68308190810c64e76c83fa46 completed March 20, 2026, 6:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf41284998819096667ae70180e067 completed March 22, 2026, 1:08 a.m.
Created at: March 20, 2026, 2:06 p.m.