Triple
T23295125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Butterfly (song) |
E590147
|
entity |
| Predicate | performer |
P1363
|
FINISHED |
| Object |
Smile.dk
Smile.dk is a Swedish Eurodance duo best known internationally for their catchy, upbeat tracks featured in rhythm games like Dance Dance Revolution.
|
E1581418
|
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.dk | Statement: [Butterfly (song), performer, Smile.dk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Smile.dk Context triple: [Butterfly (song), performer, Smile.dk]
-
A.
Banedanmark
Banedanmark is the Danish government agency responsible for owning, maintaining, and managing most of Denmark’s railway infrastructure.
-
B.
Scala A/S
Scala A/S is a company known for developing specialized measurement and control instruments, including the Scala MM400.
-
C.
Enskede
Enskede is a suburban district in southern Stockholm, Sweden, known for its residential areas and garden-city character.
-
D.
Salling
Salling is a surname most notably associated with American actor and musician Mark Salling, known for his role on the television series "Glee."
-
E.
Billund, Denmark
Billund, Denmark is a small Danish town best known as the birthplace of LEGO and home to the original LEGOLAND theme park.
- 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.dk Triple: [Butterfly (song), performer, Smile.dk]
Generated description
Smile.dk is a Swedish Eurodance duo best known internationally for their catchy, upbeat tracks featured in rhythm games like Dance Dance Revolution.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Smile.dk Target entity description: Smile.dk is a Swedish Eurodance duo best known internationally for their catchy, upbeat tracks featured in rhythm games like Dance Dance Revolution.
-
A.
Banedanmark
Banedanmark is the Danish government agency responsible for owning, maintaining, and managing most of Denmark’s railway infrastructure.
-
B.
Scala A/S
Scala A/S is a company known for developing specialized measurement and control instruments, including the Scala MM400.
-
C.
Enskede
Enskede is a suburban district in southern Stockholm, Sweden, known for its residential areas and garden-city character.
-
D.
Salling
Salling is a surname most notably associated with American actor and musician Mark Salling, known for his role on the television series "Glee."
-
E.
Billund, Denmark
Billund, Denmark is a small Danish town best known as the birthplace of LEGO and home to the original LEGOLAND theme park.
- 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_69e25d1af9d88190a0b9b5e8fa608618 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196cdce7081908ca1cf9107b87f61 |
completed | April 29, 2026, 5:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c4c92b3f88190b4149ec072522e49 |
completed | May 19, 2026, 11:42 a.m. |
| NEDg | Description generation | batch_6a0c4ef9dcc48190b0c0ca52555f5490 |
completed | May 19, 2026, 11:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c506b25ec819084b9522fa827abe7 |
completed | May 19, 2026, 11:58 a.m. |
Created at: April 17, 2026, 5:03 p.m.