Triple

T13804903
Position Surface form Disambiguated ID Type / Status
Subject Hoda Kotb E331733 entity
Predicate notableWork P4 FINISHED
Object 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.
 E1064448 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 Are My Happy | Statement: [Hoda Kotb, notableWork, You Are My Happy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: You Are My Happy
Context triple: [Hoda Kotb, notableWork, You Are My Happy]
  • A. 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."
  • B. 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.
  • C. I’m So Happy
    "I’m So Happy" is an R&B/soul song penned by American singer-songwriter and producer Prince Phillip Mitchell.
  • D. Make You Happy
    "Make You Happy" is a song featured on Céline Dion’s 1996 album *Falling into You*.
  • E. I Want to Be Happy
    "I Want to Be Happy" is a jazz standard from the 1925 musical "No, No, Nanette," widely performed and recorded by numerous jazz artists.
  • 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 Are My Happy
Triple: [Hoda Kotb, notableWork, You Are My Happy]
Generated description
"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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: You Are My Happy
Target entity description: "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.
  • A. 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."
  • B. 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.
  • C. I’m So Happy
    "I’m So Happy" is an R&B/soul song penned by American singer-songwriter and producer Prince Phillip Mitchell.
  • D. Make You Happy
    "Make You Happy" is a song featured on Céline Dion’s 1996 album *Falling into You*.
  • E. I Want to Be Happy
    "I Want to Be Happy" is a jazz standard from the 1925 musical "No, No, Nanette," widely performed and recorded by numerous jazz artists.
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de026c36108190a7436034a730a261 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8dc1ec0819098c4f32eb3991613 completed May 3, 2026, 9:06 p.m.
NEDg Description generation batch_69f7ba6558fc819082dae55863a9a3b1 completed May 3, 2026, 9:13 p.m.
NED2 Entity disambiguation (via description) batch_69f7bb15d31c81909959e50219c4d905 completed May 3, 2026, 9:16 p.m.
Created at: April 9, 2026, 10:12 p.m.