Triple
T12906931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Night in the Ruts |
E308751
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Three Mile Smile
"Three Mile Smile" is a bluesy hard rock song by American rock band Aerosmith, featured on their 1979 album *Night in the Ruts*.
|
E1008621
|
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: Three Mile Smile | Statement: [Night in the Ruts, hasPart, Three Mile Smile]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Three Mile Smile Context triple: [Night in the Ruts, hasPart, Three Mile Smile]
-
A.
The Smile Has Left Your Eyes
"The Smile Has Left Your Eyes" is a 1983 power ballad by the British progressive rock band Asia, known for its melancholic melody and emotional lyrics.
-
B.
Smilin' Through
Smilin' Through is a romantic drama film, best known in its 1932 MGM adaptation, about enduring love and loss across generations.
-
C.
Crooked Smile
"Crooked Smile" is a socially conscious hip-hop song by J. Cole that addresses self-acceptance and beauty standards.
-
D.
Smilin'
"Smilin'" is a song by Australian singer-songwriter Gideon, known for its upbeat tone and emotive, melodic pop style.
-
E.
Smile Away
"Smile Away" is a rock song by Paul McCartney and Wings, known for its upbeat tempo and playful lyrics.
- 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: Three Mile Smile Triple: [Night in the Ruts, hasPart, Three Mile Smile]
Generated description
"Three Mile Smile" is a bluesy hard rock song by American rock band Aerosmith, featured on their 1979 album *Night in the Ruts*.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Three Mile Smile Target entity description: "Three Mile Smile" is a bluesy hard rock song by American rock band Aerosmith, featured on their 1979 album *Night in the Ruts*.
-
A.
The Smile Has Left Your Eyes
"The Smile Has Left Your Eyes" is a 1983 power ballad by the British progressive rock band Asia, known for its melancholic melody and emotional lyrics.
-
B.
Smilin' Through
Smilin' Through is a romantic drama film, best known in its 1932 MGM adaptation, about enduring love and loss across generations.
-
C.
Crooked Smile
"Crooked Smile" is a socially conscious hip-hop song by J. Cole that addresses self-acceptance and beauty standards.
-
D.
Smilin'
"Smilin'" is a song by Australian singer-songwriter Gideon, known for its upbeat tone and emotive, melodic pop style.
-
E.
Smile Away
"Smile Away" is a rock song by Paul McCartney and Wings, known for its upbeat tempo and playful lyrics.
- 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9719d4d1c8190a2c4f362e1772a73 |
completed | April 10, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a565ce508190a73f33708e61dc7d |
completed | May 3, 2026, 1:31 a.m. |
| NEDg | Description generation | batch_69f6a6c63eac81908c025af76b2ea656 |
completed | May 3, 2026, 1:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6a7792f948190bb0b324bee0cd8ac |
completed | May 3, 2026, 1:40 a.m. |
Created at: April 9, 2026, 5:41 p.m.