Triple

T5546827
Position Surface form Disambiguated ID Type / Status
Subject Falling into You E145428 entity
Predicate hasPart P35 FINISHED
Object Make You Happy
"Make You Happy" is a song featured on Céline Dion’s 1996 album *Falling into You*.
 E532969 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: Make You Happy | Statement: [Falling into You, hasPart, Make You Happy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Make You Happy
Context triple: [Falling into You, hasPart, Make You Happy]
  • A. Make Someone Happy
    "Make Someone Happy" is a jazz album by Russian-Canadian vocalist Sophie Milman, showcasing her interpretations of classic standards.
  • B. Happy with You
    "Happy with You" is a melodic, introspective song by Paul McCartney from his 2018 studio album "Egypt Station."
  • C. Make Your Day
    "Make Your Day" is the promotional slogan used by TikTok to convey its focus on entertaining, uplifting short-form video content.
  • D. If It Makes You Happy
    "If It Makes You Happy" is a 1996 Grammy-winning rock song by Sheryl Crow that became one of her signature hits.
  • E. Made You Look
    "Made You Look" is a 2022 doo-wop-influenced pop single by Meghan Trainor that became a viral hit, especially on TikTok, for its catchy hook and body-confidence message.
  • 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: Make You Happy
Triple: [Falling into You, hasPart, Make You Happy]
Generated description
"Make You Happy" is a song featured on Céline Dion’s 1996 album *Falling into You*.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Make You Happy
Target entity description: "Make You Happy" is a song featured on Céline Dion’s 1996 album *Falling into You*.
  • A. Make Someone Happy
    "Make Someone Happy" is a jazz album by Russian-Canadian vocalist Sophie Milman, showcasing her interpretations of classic standards.
  • B. Happy with You
    "Happy with You" is a melodic, introspective song by Paul McCartney from his 2018 studio album "Egypt Station."
  • C. Make Your Day
    "Make Your Day" is the promotional slogan used by TikTok to convey its focus on entertaining, uplifting short-form video content.
  • D. If It Makes You Happy
    "If It Makes You Happy" is a 1996 Grammy-winning rock song by Sheryl Crow that became one of her signature hits.
  • E. Made You Look
    "Made You Look" is a 2022 doo-wop-influenced pop single by Meghan Trainor that became a viral hit, especially on TikTok, for its catchy hook and body-confidence message.
  • 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_69c008fb879c81909f5bfa56fadc1d46 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01fdec3588190b0af7d2ca8e8ee9b completed March 22, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0282ace308190a714685579f2a789 completed March 22, 2026, 5:34 p.m.
NEDg Description generation batch_69c0372e86c08190bf586256cab23d22 completed March 22, 2026, 6:38 p.m.
NED2 Entity disambiguation (via description) batch_69c038e5dccc8190a5e1ec45712c00a3 completed March 22, 2026, 6:45 p.m.
Created at: March 22, 2026, 3:35 p.m.