Triple

T7726033
Position Surface form Disambiguated ID Type / Status
Subject Medicine Music E175131 entity
Predicate hasPart P35 FINISHED
Object Sweet in the Morning
Sweet in the Morning is a song featured on the album Medicine Music by Richie Havens.
 E685459 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: Sweet in the Morning | Statement: [Medicine Music, hasPart, Sweet in the Morning]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sweet in the Morning
Context triple: [Medicine Music, hasPart, Sweet in the Morning]
  • A. Joy in the Morning
    "Joy in the Morning" is a comic novel in P. G. Wodehouse’s Jeeves and Wooster series, featuring Bertie Wooster’s misadventures and the ingenious problem-solving of his valet Jeeves.
  • B. One Fine Morning
    One Fine Morning is a 1971 jazz-rock song by the Canadian band Lighthouse, known for its upbeat horn-driven sound and enduring classic rock radio presence.
  • C. One Fine Morning
    One Fine Morning is a soulful 1960s R&B song performed by American singer Tommy Hunt.
  • D. Meet Me in the Morning
    "Meet Me in the Morning" is a blues-infused song by Bob Dylan, featured on his acclaimed 1975 album Blood on the Tracks.
  • E. The Look of Love
    "The Look of Love" is a classic pop standard from the 1960s, best known for its smooth, romantic melody and enduring popularity in both vocal and instrumental versions.
  • 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: Sweet in the Morning
Triple: [Medicine Music, hasPart, Sweet in the Morning]
Generated description
Sweet in the Morning is a song featured on the album Medicine Music by Richie Havens.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sweet in the Morning
Target entity description: Sweet in the Morning is a song featured on the album Medicine Music by Richie Havens.
  • A. Joy in the Morning
    "Joy in the Morning" is a comic novel in P. G. Wodehouse’s Jeeves and Wooster series, featuring Bertie Wooster’s misadventures and the ingenious problem-solving of his valet Jeeves.
  • B. One Fine Morning
    One Fine Morning is a 1971 jazz-rock song by the Canadian band Lighthouse, known for its upbeat horn-driven sound and enduring classic rock radio presence.
  • C. One Fine Morning
    One Fine Morning is a soulful 1960s R&B song performed by American singer Tommy Hunt.
  • D. Meet Me in the Morning
    "Meet Me in the Morning" is a blues-infused song by Bob Dylan, featured on his acclaimed 1975 album Blood on the Tracks.
  • E. The Look of Love
    "The Look of Love" is a classic pop standard from the 1960s, best known for its smooth, romantic melody and enduring popularity in both vocal and instrumental versions.
  • 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_69c6995d541c81909eaa646b1a8369a9 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7031394e48190833b906af9166fe5 completed March 27, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be2de08881909715d9164b743aae completed March 29, 2026, 5:52 a.m.
NEDg Description generation batch_69c8bef91cf081908d9d9c689c918905 completed March 29, 2026, 5:56 a.m.
NED2 Entity disambiguation (via description) batch_69c8bf5aa1348190a5c369bece6fb6db completed March 29, 2026, 5:57 a.m.
Created at: March 27, 2026, 4:05 p.m.