Triple

T13794064
Position Surface form Disambiguated ID Type / Status
Subject Prince Phillip Mitchell E331470 entity
Predicate wroteSong P2831 FINISHED
Object I’m So Happy
"I’m So Happy" is an R&B/soul song penned by American singer-songwriter and producer Prince Phillip Mitchell.
 E1061406 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: I’m So Happy | Statement: [Prince Phillip Mitchell, wroteSong, I’m So Happy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: I’m So Happy
Context triple: [Prince Phillip Mitchell, wroteSong, I’m So Happy]
  • A. 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.
  • B. I Sing Because I’m Happy
    "I Sing Because I’m Happy" is a popular contemporary gospel song, widely recognized for its uplifting lyrics and powerful choral arrangement.
  • C. 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."
  • D. 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.
  • E. I’m Good
    "I’m Good" is a track by Lil Wayne featured on his mixtape "No Ceilings."
  • 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: I’m So Happy
Triple: [Prince Phillip Mitchell, wroteSong, I’m So Happy]
Generated description
"I’m So Happy" is an R&B/soul song penned by American singer-songwriter and producer Prince Phillip Mitchell.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: I’m So Happy
Target entity description: "I’m So Happy" is an R&B/soul song penned by American singer-songwriter and producer Prince Phillip Mitchell.
  • A. 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.
  • B. I Sing Because I’m Happy
    "I Sing Because I’m Happy" is a popular contemporary gospel song, widely recognized for its uplifting lyrics and powerful choral arrangement.
  • C. 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."
  • D. 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.
  • E. I’m Good
    "I’m Good" is a track by Lil Wayne featured on his mixtape "No Ceilings."
  • 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_69d81c58feb08190a77bca8bf7d6d20f completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0259b0e4819081c11ced694384fb completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b083387081909c6f4beb0e12cf36 completed May 3, 2026, 8:30 p.m.
NEDg Description generation batch_69f7b14fe1cc8190b1a5f6f0e80b7e39 completed May 3, 2026, 8:34 p.m.
NED2 Entity disambiguation (via description) batch_69f7b20f67048190a641527353e3ff43 completed May 3, 2026, 8:37 p.m.
Created at: April 9, 2026, 10:11 p.m.