Triple

T6279448
Position Surface form Disambiguated ID Type / Status
Subject Diana DeGarmo E140743 entity
Predicate notableSong P4 FINISHED
Object Good Goodbye
"Good Goodbye" is a pop ballad performed by American Idol alumna Diana DeGarmo, showcasing her powerful vocals and emotional delivery.
E583053 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 Goodbye | Statement: [Diana DeGarmo, notableSong, Good Goodbye]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Good Goodbye
Context triple: [Diana DeGarmo, notableSong, Good Goodbye]
  • A. Say Goodbye
    "Say Goodbye" is a song by American punk rock band Green Day from their 2016 album *Revolution Radio*.
  • B. Goodbye
    "Goodbye" is a song by Alicia Keys from her debut studio album, *Songs in A Minor*.
  • C. Goodbye
    "Goodbye" is a jazz standard composed by Gordon Jenkins that became widely known as the Benny Goodman Orchestra’s closing theme song.
  • D. Goodbyes
    "Goodbyes" is a melancholic hip-hop/pop single by Post Malone featuring Young Thug, known for its themes of heartbreak and its commercial success on global music charts.
  • E. Too Good at Goodbyes
    "Too Good at Goodbyes" is a soulful pop ballad by Sam Smith, co-written with Jimmy Napes, known for its emotive vocals and themes of heartbreak and emotional self-protection.
  • 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 Goodbye
Triple: [Diana DeGarmo, notableSong, Good Goodbye]
Generated description
"Good Goodbye" is a pop ballad performed by American Idol alumna Diana DeGarmo, showcasing her powerful vocals and emotional delivery.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Good Goodbye
Target entity description: "Good Goodbye" is a pop ballad performed by American Idol alumna Diana DeGarmo, showcasing her powerful vocals and emotional delivery.
  • A. Say Goodbye
    "Say Goodbye" is a song by American punk rock band Green Day from their 2016 album *Revolution Radio*.
  • B. Goodbye
    "Goodbye" is a song by Alicia Keys from her debut studio album, *Songs in A Minor*.
  • C. Goodbye
    "Goodbye" is a jazz standard composed by Gordon Jenkins that became widely known as the Benny Goodman Orchestra’s closing theme song.
  • D. Goodbyes
    "Goodbyes" is a melancholic hip-hop/pop single by Post Malone featuring Young Thug, known for its themes of heartbreak and its commercial success on global music charts.
  • E. Too Good at Goodbyes
    "Too Good at Goodbyes" is a soulful pop ballad by Sam Smith, co-written with Jimmy Napes, known for its emotive vocals and themes of heartbreak and emotional self-protection.
  • 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_69c008cc158881908df6ec94a911c736 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063dc55d48190b5ed48a50f3a742e completed March 22, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c519549cf0819096d01c23f6c915eb completed March 26, 2026, 11:32 a.m.
NEDg Description generation batch_69c51dfe50c4819084c43ca4d6cced35 completed March 26, 2026, 11:52 a.m.
NED2 Entity disambiguation (via description) batch_69c58d97bf808190a2f8f101cf46a16b completed March 26, 2026, 7:48 p.m.
Created at: March 22, 2026, 4:26 p.m.