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
"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.
 E1387678 NE FINISHED

How this triple was built (4 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.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: You've Made Me So Very Happy
Triple: [Blood, Sweat & Tears, notableWork, You've Made Me So Very Happy]
Generated 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.
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 (5 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.
NED1 Entity disambiguation (via context triple) batch_6a077eead4408190a6d1c74949f1ae89 completed May 15, 2026, 8:15 p.m.
NEDg Description generation batch_6a077fa5f9808190b5e74c259a5a5107 completed May 15, 2026, 8:18 p.m.
NED2 Entity disambiguation (via description) batch_6a0780926a308190a34addf2980dc695 completed May 15, 2026, 8:22 p.m.
Created at: April 10, 2026, 1:44 p.m.