Triple

T22670081
Position Surface form Disambiguated ID Type / Status
Subject The Smithereens E559896 entity
Predicate notableSong P4 FINISHED
Object Too Much Passion
"Too Much Passion" is a melodic, soul-influenced rock song by The Smithereens that became one of the band’s more recognizable early-1990s hits.
E1548976 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 Passion | Statement: [The Smithereens, notableSong, Too Much Passion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Too Much Passion
Context triple: [The Smithereens, notableSong, Too Much Passion]
  • A. Never Too Much
    "Never Too Much" is a 1981 R&B and soul classic by Luther Vandross that became his signature hit and a defining song of contemporary R&B.
  • B. Too Much
    "Too Much" is a song by American musician Sufjan Stevens from his experimental, electronic-influenced album *The Age of Adz*.
  • C. Too Much
    "Too Much" is a 1957 rock and roll song by Elvis Presley that became one of his early chart-topping hits.
  • D. Too Much
    "Too Much" is a reflective, emotionally charged song by Canadian rapper Drake that appears on his 2013 album *Nothing Was the Same*.
  • E. Too Much
    "Too Much" is a track by West Coast rapper The Game from his 2006 album "Doctor's Advocate."
  • 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 Passion
Triple: [The Smithereens, notableSong, Too Much Passion]
Generated description
"Too Much Passion" is a melodic, soul-influenced rock song by The Smithereens that became one of the band’s more recognizable early-1990s hits.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Too Much Passion
Target entity description: "Too Much Passion" is a melodic, soul-influenced rock song by The Smithereens that became one of the band’s more recognizable early-1990s hits.
  • A. Never Too Much
    "Never Too Much" is a 1981 R&B and soul classic by Luther Vandross that became his signature hit and a defining song of contemporary R&B.
  • 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 song by American musician Sufjan Stevens from his experimental, electronic-influenced album *The Age of Adz*.
  • D. Too Much
    "Too Much" is a 1957 rock and roll song by Elvis Presley that became one of his early chart-topping hits.
  • E. 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.
  • 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_69e2454a158c819093b8e35f5045efb6 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1781ed50c8190a6943f51d7337b49 completed April 29, 2026, 3:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b73e98b74819096a28b35a4c5a510 completed May 18, 2026, 8:17 p.m.
NEDg Description generation batch_6a0b75873f2c8190a89772fc560840e1 completed May 18, 2026, 8:24 p.m.
NED2 Entity disambiguation (via description) batch_6a0b7601fda88190bbfa04e7eb240f65 completed May 18, 2026, 8:26 p.m.
Created at: April 17, 2026, 3:10 p.m.