Triple

T16296625
Position Surface form Disambiguated ID Type / Status
Subject Only Time Will Tell E395662 entity
Predicate hasBside P15273 FINISHED
Object Ride Easy E1205925 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: Ride Easy | Statement: [Only Time Will Tell, hasBside, Ride Easy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ride Easy
Context triple: [Only Time Will Tell, hasBside, Ride Easy]
  • A. Ride Easy chosen
    "Ride Easy" is a lesser-known song by the British progressive rock band Asia, originally released as a B-side and later appearing on various compilations.
  • B. Ride Me Down Easy
    "Ride Me Down Easy" is a country song written by Billy Joe Shaver, best known through Waylon Jennings’ outlaw country recording.
  • C. Easy Come, Easy Go
    "Easy Come, Easy Go" is a song featured on the album "Wanderland" by American singer-songwriter Kelis.
  • D. Easy Come, Easy Go
    "Easy Come, Easy Go" is a 1947 American comedy film featuring Geraldine Fitzgerald in a leading role.
  • E. Easy Come, Easy Go
    Easy Come, Easy Go is a 1967 musical comedy film starring Elvis Presley as a Navy frogman who becomes entangled in a search for sunken treasure.
  • 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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e25e2dcdac819083918f0964dd5666 completed April 17, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0025ff9020819088f2146bdbfb2e2a completed May 10, 2026, 6:30 a.m.
Created at: April 10, 2026, 5:06 a.m.