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.