Triple
T4684252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uncle Kracker |
E103880
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Smile
"Smile" is a popular country-pop song by American musician Uncle Kracker, known for its upbeat, feel-good lyrics and radio-friendly melody.
|
E460523
|
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: Smile | Statement: [Uncle Kracker, notableWork, Smile]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Smile Context triple: [Uncle Kracker, notableWork, Smile]
-
A.
Smile
"Smile" is a 2020 pop album by American singer Katy Perry that explores themes of resilience, self-acceptance, and personal growth.
-
B.
Smile
"Smile" is a 2006 pop song by British singer Lily Allen that became her breakthrough hit, known for its upbeat melody contrasted with bittersweet, vengeful lyrics.
-
C.
Smile Please
"Smile Please" is a song from Stevie Wonder’s acclaimed 1974 soul and R&B album *Fulfillingness' First Finale*.
-
D.
The Smile
The Smile is an English rock band formed by Radiohead members Thom Yorke and Jonny Greenwood with drummer Tom Skinner, known for its experimental, guitar-driven sound.
-
E.
Smilin'
"Smilin'" is a song by Australian singer-songwriter Gideon, known for its upbeat tone and emotive, melodic pop style.
- 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: Smile Triple: [Uncle Kracker, notableWork, Smile]
Generated description
"Smile" is a popular country-pop song by American musician Uncle Kracker, known for its upbeat, feel-good lyrics and radio-friendly melody.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Smile Target entity description: "Smile" is a popular country-pop song by American musician Uncle Kracker, known for its upbeat, feel-good lyrics and radio-friendly melody.
-
A.
Smile
"Smile" is a 2020 pop album by American singer Katy Perry that explores themes of resilience, self-acceptance, and personal growth.
-
B.
Smile
"Smile" is a 2006 pop song by British singer Lily Allen that became her breakthrough hit, known for its upbeat melody contrasted with bittersweet, vengeful lyrics.
-
C.
Smile Please
"Smile Please" is a song from Stevie Wonder’s acclaimed 1974 soul and R&B album *Fulfillingness' First Finale*.
-
D.
The Smile
The Smile is an English rock band formed by Radiohead members Thom Yorke and Jonny Greenwood with drummer Tom Skinner, known for its experimental, guitar-driven sound.
-
E.
Smilin'
"Smilin'" is a song by Australian singer-songwriter Gideon, known for its upbeat tone and emotive, melodic pop style.
- 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_69bd43debbf08190b4bc372e286ec234 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd63829b048190a2044de900ef7a69 |
completed | March 20, 2026, 3:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be03b07664819097d959fde1b0585b |
completed | March 21, 2026, 2:34 a.m. |
| NEDg | Description generation | batch_69be04dc48b08190947cde715f87a4d0 |
completed | March 21, 2026, 2:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be05742e248190bb0e846189dfcfb5 |
completed | March 21, 2026, 2:41 a.m. |
Created at: March 20, 2026, 1:16 p.m.