Triple

T10734540
Position Surface form Disambiguated ID Type / Status
Subject Blues to the Bone E253158 entity
Predicate hasTrack P3284 FINISHED
Object Driving Wheel E620994 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: Driving Wheel | Statement: [Blues to the Bone, hasTrack, Driving Wheel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Driving Wheel
Context triple: [Blues to the Bone, hasTrack, Driving Wheel]
  • A. Driving Wheel chosen
    "Driving Wheel" is a blues song popularized by Junior Parker that became one of his signature recordings and a staple in the electric blues repertoire.
  • B. Wheels
    Wheels is a mathematical puzzle and recreational mathematics topic discussed in Martin Gardner’s collection "Wheels, Life and Other Mathematical Amusements."
  • C. Wheels
    "Wheels" is a song by Australian country singer-songwriter Kasey Chambers, recognized as one of her notable recordings.
  • D. Wheelon
    Wheelon is the surname of Albert D. Wheelon, an American physicist and intelligence official known for his pioneering work in satellite reconnaissance.
  • E. Wheelie
    Wheelie is a small, wisecracking Autobot from the Transformers franchise known for his rhyming speech and comic-relief role.
  • 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_69de22bb62e481909544c87801012df3 completed April 14, 2026, 11:19 a.m.
Created at: April 8, 2026, 9:14 p.m.