Triple

T18960542
Position Surface form Disambiguated ID Type / Status
Subject What I Do E463899 entity
Predicate hasSingle P3282 FINISHED
Object Too Much of a Good Thing
"Too Much of a Good Thing" is a song best known as a track by the American rock band What I Do.
 E1350748 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: Too Much of a Good Thing | Statement: [What I Do, hasSingle, Too Much of a Good Thing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Too Much of a Good Thing
Context triple: [What I Do, hasSingle, Too Much of a Good Thing]
  • A. Too Much
    "Too Much" is a 1957 rock and roll song by Elvis Presley that became one of his early chart-topping hits.
  • B. Too Much
    "Too Much" is a reflective, emotionally charged song by Canadian rapper Drake that appears on his 2013 album *Nothing Was the Same*.
  • C. Too Much
    "Too Much" is a track by West Coast rapper The Game from his 2006 album "Doctor's Advocate."
  • D. Too Much
    "Too Much" is a 1997 pop ballad by the Spice Girls that became one of their hit singles, showcasing their signature harmonies and topping charts in several countries.
  • E. Too Much Happiness
    Too Much Happiness is a short story collection by Canadian Nobel laureate Alice Munro that explores complex emotional lives and everyday tragedies with her characteristic psychological depth and precision.
  • 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: Too Much of a Good Thing
Triple: [What I Do, hasSingle, Too Much of a Good Thing]
Generated description
"Too Much of a Good Thing" is a song best known as a track by the American rock band What I Do.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Too Much of a Good Thing
Target entity description: "Too Much of a Good Thing" is a song best known as a track by the American rock band What I Do.
  • A. Too Much
    "Too Much" is a reflective, emotionally charged song by Canadian rapper Drake that appears on his 2013 album *Nothing Was the Same*.
  • B. Too Much
    "Too Much" is a 1957 rock and roll song by Elvis Presley that became one of his early chart-topping hits.
  • C. Too Much
    "Too Much" is a track by West Coast rapper The Game from his 2006 album "Doctor's Advocate."
  • D. Too Much
    "Too Much" is a 1997 pop ballad by the Spice Girls that became one of their hit singles, showcasing their signature harmonies and topping charts in several countries.
  • E. Too Much Happiness
    Too Much Happiness is a short story collection by Canadian Nobel laureate Alice Munro that explores complex emotional lives and everyday tragedies with her characteristic psychological depth and precision.
  • 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_69d8dcffc278819086792a4ebfddfafa completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d5d2b1c08190a4a32036c70c7746 completed April 20, 2026, 7:29 a.m.
NED1 Entity disambiguation (via context triple) batch_6a059fd91b248190962ec54be5d75d59 completed May 14, 2026, 10:11 a.m.
NEDg Description generation batch_6a05a14c7a548190921d1c750de71741 completed May 14, 2026, 10:17 a.m.
NED2 Entity disambiguation (via description) batch_6a05a2030e788190acb66dade85783ad completed May 14, 2026, 10:20 a.m.
Created at: April 10, 2026, noon