Triple

T10734547
Position Surface form Disambiguated ID Type / Status
Subject Blues to the Bone E253158 entity
Predicate follows P134 FINISHED
Object Let's Roll E253157 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: Let's Roll | Statement: [Blues to the Bone, follows, Let's Roll]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Let's Roll
Context triple: [Blues to the Bone, follows, Let's Roll]
  • A. Let’s Roll chosen
    "Let’s Roll" is a blues and soul album by legendary American singer Etta James, showcasing her powerful vocals in a contemporary, guitar-driven setting.
  • B. Let It Roll
    "Let It Roll" is a song featured on the album "Radio Silence."
  • C. Stone Rollin'
    Stone Rollin' is a 2011 soul and R&B album by Raphael Saadiq that blends vintage Motown influences with contemporary production and songwriting.
  • D. Let the Good Times Roll
    "Let the Good Times Roll" is a blues song popularized by legendary Chicago blues singer Koko Taylor, celebrated for its upbeat, party-ready groove and powerful vocal delivery.
  • E. Let the Good Times Roll
    "Let the Good Times Roll" is a classic rhythm and blues song popularized by Louis Jordan that became one of his signature hits and an enduring standard.
  • 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_69d6aa5d8be481909a43218b2bfdbe95 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d71020e1c881909e40f398de2bdd25 completed April 9, 2026, 2:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69de557c4ea4819090b0c6c2175e05ea completed April 14, 2026, 2:55 p.m.
Created at: April 8, 2026, 9:14 p.m.