Triple

T5577743
Position Surface form Disambiguated ID Type / Status
Subject 98 Degrees E146362 entity
Predicate hasHitSingle P15293 FINISHED
Object I Do (Cherish You) E536213 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: I Do (Cherish You) | Statement: [98 Degrees, hasHitSingle, I Do (Cherish You)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: I Do (Cherish You)
Context triple: [98 Degrees, hasHitSingle, I Do (Cherish You)]
  • A. I Do (Cherish You) chosen
    "I Do (Cherish You)" is a romantic pop ballad best known from the late 1990s boy band 98 Degrees, often associated with weddings and love-themed playlists.
  • B. I Do
    "I Do" is a music album by Canadian actress and singer Jill Hennessy, showcasing her blend of folk, rock, and country influences.
  • C. Like I Do
    "Like I Do" is a song from Christina Aguilera’s album "Liberation," showcasing her blend of soulful vocals with contemporary pop and R&B production.
  • D. Yes I Do
    "Yes I Do" is a song performed by British actress and singer Carmen Ejogo, known for her work in film, television, and music.
  • E. (Everything I Do) I Do It for You
    "(Everything I Do) I Do It for You" is a power ballad by Bryan Adams that became a worldwide hit in 1991, best known as the theme song for the film "Robin Hood: Prince of Thieves."
  • 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_69c008ffed108190a084602227af6157 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0206ae4808190971d89243db94475 completed March 22, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c059f3f6648190af2fd9a5e7cc125b completed March 22, 2026, 9:07 p.m.
Created at: March 22, 2026, 3:37 p.m.