Triple

T16722888
Position Surface form Disambiguated ID Type / Status
Subject The Unseen E406392 entity
Predicate hasTrack P3284 FINISHED
Object Goodmorning Sunshine
"Goodmorning Sunshine" is a song by the British punk rock band The Unseen.
E1231228 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: Goodmorning Sunshine | Statement: [The Unseen, hasTrack, Goodmorning Sunshine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Goodmorning Sunshine
Context triple: [The Unseen, hasTrack, Goodmorning Sunshine]
  • A. Good Morning
    "Good Morning" is a classic show tune best known from the 1939 musical film *Babes in Arms* and later popularized in *Singin' in the Rain*.
  • B. Good Morning
    "Good Morning" is a song by Norah Jones from her 2012 studio album *Little Broken Hearts*, blending mellow vocals with atmospheric, indie-pop production.
  • C. Good Morning
    "Good Morning" is a vibrant abstract painting by British artist Howard Hodgkin, known for its expressive brushwork and intense, layered color.
  • D. 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.
  • E. Joy in the Morning
    "Joy in the Morning" is a coming-of-age novel by Betty Smith that follows a young couple’s struggles and resilience as they build a life together despite poverty and hardship.
  • 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: Goodmorning Sunshine
Triple: [The Unseen, hasTrack, Goodmorning Sunshine]
Generated description
"Goodmorning Sunshine" is a song by the British punk rock band The Unseen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Goodmorning Sunshine
Target entity description: "Goodmorning Sunshine" is a song by the British punk rock band The Unseen.
  • A. Good Morning
    "Good Morning" is a classic show tune best known from the 1939 musical film *Babes in Arms* and later popularized in *Singin' in the Rain*.
  • B. Good Morning
    "Good Morning" is a song by Norah Jones from her 2012 studio album *Little Broken Hearts*, blending mellow vocals with atmospheric, indie-pop production.
  • C. Good Morning
    "Good Morning" is a vibrant abstract painting by British artist Howard Hodgkin, known for its expressive brushwork and intense, layered color.
  • D. 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.
  • E. Joy in the Morning
    "Joy in the Morning" is a coming-of-age novel by Betty Smith that follows a young couple’s struggles and resilience as they build a life together despite poverty and hardship.
  • 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_69d8838f242881908abd8bc138795886 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e387449eb08190b174f8e142ea631b completed April 18, 2026, 1:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d43c49081908eca922da8f90793 completed May 10, 2026, 2:59 p.m.
NEDg Description generation batch_6a00a19d8dc08190be5d750f71b083dc completed May 10, 2026, 3:17 p.m.
NED2 Entity disambiguation (via description) batch_6a00a269cacc81909d084c5d3497a4e6 completed May 10, 2026, 3:21 p.m.
Created at: April 10, 2026, 5:20 a.m.