Triple
T13993590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Euphoria |
E336639
|
entity |
| Predicate | hasSingle |
P3282
|
FINISHED |
| Object |
Dirty Dancer
"Dirty Dancer" is a song by the American rock band Euphoria.
|
E1072860
|
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: Dirty Dancer | Statement: [Euphoria, hasSingle, Dirty Dancer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dirty Dancer Context triple: [Euphoria, hasSingle, Dirty Dancer]
-
A.
Dirty Dancing
Dirty Dancing is a 1987 romantic drama dance film set in the 1960s that became a cultural phenomenon, known for its iconic soundtrack, dance sequences, and the famous line "Nobody puts Baby in a corner."
-
B.
Born to Dance
Born to Dance is a 1936 MGM musical film featuring songs by Cole Porter and starring Eleanor Powell and James Stewart.
-
C.
Footloose
Footloose is a 1984 American musical drama film, starring Kevin Bacon, about a teenager who challenges a small town’s ban on dancing.
-
D.
Why Don’t You Dance?
"Why Don’t You Dance?" is a short story by American writer Raymond Carver, noted for its minimalist style and portrayal of loneliness and disconnection in everyday life.
-
E.
Sadie Hawkins Dance
"Sadie Hawkins Dance" is a pop-punk song by Christian rock band Relient K, known for its humorous take on high school dating and its energetic, catchy 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: Dirty Dancer Triple: [Euphoria, hasSingle, Dirty Dancer]
Generated description
"Dirty Dancer" is a song by the American rock band Euphoria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dirty Dancer Target entity description: "Dirty Dancer" is a song by the American rock band Euphoria.
-
A.
Dirty Dancing
Dirty Dancing is a 1987 romantic drama dance film set in the 1960s that became a cultural phenomenon, known for its iconic soundtrack, dance sequences, and the famous line "Nobody puts Baby in a corner."
-
B.
Born to Dance
Born to Dance is a 1936 MGM musical film featuring songs by Cole Porter and starring Eleanor Powell and James Stewart.
-
C.
Footloose
Footloose is a 1984 American musical drama film, starring Kevin Bacon, about a teenager who challenges a small town’s ban on dancing.
-
D.
Why Don’t You Dance?
"Why Don’t You Dance?" is a short story by American writer Raymond Carver, noted for its minimalist style and portrayal of loneliness and disconnection in everyday life.
-
E.
Sadie Hawkins Dance
"Sadie Hawkins Dance" is a pop-punk song by Christian rock band Relient K, known for its humorous take on high school dating and its energetic, catchy 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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2eb3b5d881909f15a1e08bb202f3 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbac9a7e8c8190a0fd0cd67ff50741 |
completed | May 6, 2026, 9:03 p.m. |
| NEDg | Description generation | batch_69fbad64934481908ad35366ded9c7a0 |
completed | May 6, 2026, 9:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fbae1c5c988190bcc800d701bccca3 |
completed | May 6, 2026, 9:09 p.m. |
Created at: April 9, 2026, 10:19 p.m.