Triple

T11667865
Position Surface form Disambiguated ID Type / Status
Subject Room Full of Roses E277300 entity
Predicate recordedBy P1165 FINISHED
Object Pat Boone E115572 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: Pat Boone | Statement: [Room Full of Roses, recordedBy, Pat Boone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pat Boone
Context triple: [Room Full of Roses, recordedBy, Pat Boone]
  • A. Pat Boone chosen
    Pat Boone is an American singer, actor, and television personality who became a major pop music star in the 1950s and 1960s.
  • B. Dan Boone
    Dan Boone is a contemporary figure best known as a leader and author within the Church of the Nazarene, particularly recognized for his work in Christian higher education and theology.
  • C. Tennessee Ernie Ford
    Tennessee Ernie Ford was an American singer and television personality best known for his booming bass-baritone voice and his hit recording of the song "Sixteen Tons."
  • D. Vaughn Monroe
    Vaughn Monroe was an American baritone singer, trumpeter, big band leader, and radio personality popular in the 1940s and 1950s.
  • E. Brian Hyland
    Brian Hyland is an American pop singer best known for his 1960s novelty and teen pop hits such as "Itsy Bitsy Teenie Weenie Yellow Polka Dot Bikini."
  • 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_69d6aafd0a448190b44da30af8c6c519 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a440d8a481909a13c97813408bc8 completed April 10, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69f166403d6081908caa665433eaed53 completed April 29, 2026, 2 a.m.
Created at: April 8, 2026, 9:39 p.m.