Triple

T2718302
Position Surface form Disambiguated ID Type / Status
Subject The Commodores E60018 entity
Predicate hasHitSingle P15293 FINISHED
Object Easy E293123 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: Easy | Statement: [The Commodores, hasHitSingle, Easy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Easy
Context triple: [The Commodores, hasHitSingle, Easy]
  • A. Easy
    "Easy" is a song by Joanna Newsom from her 2010 triple album *Have One on Me*, noted for its intricate harp arrangements and poetic lyrics.
  • B. Easy chosen
    "Easy" is a soulful 1977 ballad by the Commodores, written and sung by Lionel Richie, that became one of the group's signature hits.
  • C. Easy A
    Easy A is a 2010 teen comedy film that satirizes high school culture and social reputation, starring Emma Stone as a student whose fabricated promiscuity spirals out of control.
  • D. Easy Exotic
    Easy Exotic is a cookbook by Padma Lakshmi that showcases simple, globally inspired recipes influenced by her multicultural background.
  • E. easyMoney
    easyMoney is a financial services brand within the easyGroup portfolio, associated with the low-cost, consumer-focused "easy" family of companies.
  • 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_69ab4b746d248190958e052045c09255 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdaad577c8190819d3c641c2406f4 completed March 7, 2026, 7:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbbe621881909e153290394798d6 completed March 10, 2026, 6:35 a.m.
Created at: March 6, 2026, 9:55 p.m.