Triple

T19645823
Position Surface form Disambiguated ID Type / Status
Subject Blood, Sweat & Tears E471668 entity
Predicate notableWork P4 FINISHED
Object You've Made Me So Very Happy NE NERFINISHED

How this triple was built (3 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: You've Made Me So Very Happy | Statement: [Blood, Sweat & Tears, notableWork, You've Made Me So Very Happy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: You've Made Me So Very Happy
Context triple: [Blood, Sweat & Tears, notableWork, You've Made Me So Very Happy]
  • A. If You Want to Make Me Happy
    "If You Want to Make Me Happy" is a song featured on the album "Good Time."
  • B. I’m So Happy
    "I’m So Happy" is an R&B/soul song penned by American singer-songwriter and producer Prince Phillip Mitchell.
  • C. Sometimes I’m Happy
    "Sometimes I’m Happy" is a popular jazz standard from the 1920s that has been widely recorded and performed by leading swing and big band artists.
  • D. I’ll Keep You Happy
    "I’ll Keep You Happy" is a song by Ike & Tina Turner, best known as the B-side to their 1966 single "River Deep – Mountain High."
  • E. You Are My Happy
    "You Are My Happy" is a bestselling children's picture book by Hoda Kotb that celebrates the loving bond and everyday joys shared between a parent and child.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: You've Made Me So Very Happy
Target entity description: "You've Made Me So Very Happy" is a popular late-1960s pop-soul song best known in its hit rendition by the jazz-rock band Blood, Sweat & Tears.
  • A. If You Want to Make Me Happy
    "If You Want to Make Me Happy" is a song featured on the album "Good Time."
  • B. I’m So Happy
    "I’m So Happy" is an R&B/soul song penned by American singer-songwriter and producer Prince Phillip Mitchell.
  • C. Sometimes I’m Happy
    "Sometimes I’m Happy" is a popular jazz standard from the 1920s that has been widely recorded and performed by leading swing and big band artists.
  • D. I’ll Keep You Happy
    "I’ll Keep You Happy" is a song by Ike & Tina Turner, best known as the B-side to their 1966 single "River Deep – Mountain High."
  • E. You Are My Happy
    "You Are My Happy" is a bestselling children's picture book by Hoda Kotb that celebrates the loving bond and everyday joys shared between a parent and child.
  • F. None of above. chosen

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_69d8e51395348190ac1416d46dfc6db0 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e641250e108190a707452fefc87041 completed April 20, 2026, 3:07 p.m.
Created at: April 10, 2026, 1:44 p.m.