Triple

T22578714
Position Surface form Disambiguated ID Type / Status
Subject Rolling Down a Mountainside E544502 entity
Predicate hasTrack P3284 FINISHED
Object The Good Old Days — 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: The Good Old Days | Statement: [Rolling Down a Mountainside, hasTrack, The Good Old Days]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Good Old Days
Context triple: [Rolling Down a Mountainside, hasTrack, The Good Old Days]
  • A. The Good Old Days chosen
    "The Good Old Days" is a song featured on Clint Black's country music album "Put Yourself in My Shoes."
  • B. The Good Old Days
    The Good Old Days was a long-running BBC television variety show that recreated the atmosphere of Victorian and Edwardian music hall performances.
  • C. Still the Good Old Days
    "Still the Good Old Days" is a song featured on the album *Threads* by American singer-songwriter Sheryl Crow.
  • D. Good Old Days
    "Good Old Days" is a bonus track from P!nk’s album *The Truth About Love*, known for its reflective lyrics and emotive pop-rock style.
  • E. Good Old Days
    Good Old Days is a nostalgic-themed component or feature within Google's Gemini ecosystem, likely highlighting or revisiting past content or experiences.
  • 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_69e11e30d05481909df915354c89f0d6 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f15feee27c8190b31c923e1f00a363 completed April 29, 2026, 1:33 a.m.
Created at: April 16, 2026, 8:53 p.m.