Triple

T23308756
Position Surface form Disambiguated ID Type / Status
Subject Lucky Day E590523 entity
Predicate hasTrack P3284 FINISHED
Object Walking in My Shoes — 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: Walking in My Shoes | Statement: [Lucky Day, hasTrack, Walking in My Shoes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Walking in My Shoes
Context triple: [Lucky Day, hasTrack, Walking in My Shoes]
  • A. Walking in My Shoes chosen
    "Walking in My Shoes" is a dark, introspective synth-rock song by Depeche Mode, known for its themes of guilt and empathy and its prominent place in the band’s 1990s catalog.
  • B. Walk a Mile in My Shoes
    "Walk a Mile in My Shoes" is a soul-influenced country rock song by Joe South, best known for its empathetic message about understanding others’ struggles before judging them.
  • C. In Your Shoes
    "In Your Shoes" is a song featured on the album "Shine On."
  • D. Put Yourself in My Shoes
    Put Yourself in My Shoes is a 1990 country music album by American singer-songwriter Clint Black that helped solidify his early success in the genre.
  • E. Put Yourself in My Shoes
    "Put Yourself in My Shoes" is a short story by Raymond Carver that exemplifies his minimalist style and focus on the quiet tensions and emotional undercurrents of ordinary lives.
  • 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_69e25d1d32188190948eb76909d1dcc3 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f197292fd08190bc364e1433dde213 completed April 29, 2026, 5:29 a.m.
Created at: April 17, 2026, 5:05 p.m.