Triple

T20872647
Position Surface form Disambiguated ID Type / Status
Subject Miles Smiles E513932 entity
Predicate hasTrack P3284 FINISHED
Object Footprints NE NERFINISHED

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: Footprints | Statement: [Miles Smiles, hasTrack, Footprints]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Footprints
Context triple: [Miles Smiles, hasTrack, Footprints]
  • A. Footprints chosen
    "Footprints" is a widely influential jazz composition by saxophonist Wayne Shorter, known for its modal harmony and iconic status in the modern jazz repertoire.
  • B. Footprints
    "Footprints" is a literary work by American editor and writer Mabel Loomis Todd, best known for her role in editing and publishing the poetry of Emily Dickinson.
  • C. Footfall
    Footfall is a 1985 science fiction novel by Larry Niven and Jerry Pournelle that depicts an alien invasion of Earth by elephant-like extraterrestrials and humanity’s desperate military and political response.
  • D. Footsteps
    "Footsteps" is a track from the band Nightlife, known for its atmospheric, emotionally driven sound within their alternative rock style.
  • E. Footsteps
    "Footsteps" is a popular song performed by American singer Steve Lawrence that became one of his best-known hits in the early 1960s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4f675cc8190b4e745225b62eb66 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c465693881909fe4c756ddc4f291 completed April 21, 2026, 12:27 a.m.
Created at: April 16, 2026, 12:45 p.m.