Triple

T12234314
Position Surface form Disambiguated ID Type / Status
Subject Departure E291552 entity
Predicate hasTrack P3284 FINISHED
Object Good Morning Girl
"Good Morning Girl" is a short, melodic soft rock ballad by the American band Journey, featured on their 1980 album *Departure*.
 E971956 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: Good Morning Girl | Statement: [Departure, hasTrack, Good Morning Girl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Good Morning Girl
Context triple: [Departure, hasTrack, Good Morning Girl]
  • A. Good Morning Love
    "Good Morning Love" is a romantic song, likely a track from the music project or album "Let Love."
  • B. Goodnight Girl
    "Goodnight Girl" is a 1992 soft rock ballad by Scottish band Wet Wet Wet that became one of their most successful and recognizable hit singles.
  • C. Good Morning Little Schoolgirl
    "Good Morning Little Schoolgirl" is a classic blues song, originally recorded by Sonny Boy Williamson I, that has been widely covered by rock and blues artists.
  • D. 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*.
  • E. Good Morning
    "Good Morning" is a vibrant abstract painting by British artist Howard Hodgkin, known for its expressive brushwork and intense, layered color.
  • 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: Good Morning Girl
Triple: [Departure, hasTrack, Good Morning Girl]
Generated description
"Good Morning Girl" is a short, melodic soft rock ballad by the American band Journey, featured on their 1980 album *Departure*.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Good Morning Girl
Target entity description: "Good Morning Girl" is a short, melodic soft rock ballad by the American band Journey, featured on their 1980 album *Departure*.
  • A. Good Morning Love
    "Good Morning Love" is a romantic song, likely a track from the music project or album "Let Love."
  • B. Goodnight Girl
    "Goodnight Girl" is a 1992 soft rock ballad by Scottish band Wet Wet Wet that became one of their most successful and recognizable hit singles.
  • C. Good Morning Little Schoolgirl
    "Good Morning Little Schoolgirl" is a classic blues song, originally recorded by Sonny Boy Williamson I, that has been widely covered by rock and blues artists.
  • D. 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*.
  • E. Good Morning
    "Good Morning" is a vibrant abstract painting by British artist Howard Hodgkin, known for its expressive brushwork and intense, layered color.
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91ca5a06481908c7c6b715b9f6713 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60aaf7b348190865a6a1b6de51753 completed May 2, 2026, 2:31 p.m.
NEDg Description generation batch_69f60f2154c8819081f9cf6f51e5255b completed May 2, 2026, 2:50 p.m.
NED2 Entity disambiguation (via description) batch_69f60fe8c2ec8190af7c69dd17ea75fe completed May 2, 2026, 2:53 p.m.
Created at: April 8, 2026, 9:51 p.m.