Triple
T15165467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perfume |
E362327
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Chocolate Disco
"Chocolate Disco" is a popular electropop song by the Japanese techno-pop trio Perfume, known for its catchy melody and danceable production.
|
E1142476
|
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: Chocolate Disco | Statement: [Perfume, notableWork, Chocolate Disco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chocolate Disco Context triple: [Perfume, notableWork, Chocolate Disco]
-
A.
Hot Chocolates
Hot Chocolates was a 1929 Broadway musical revue known for launching several jazz standards and showcasing prominent African American performers.
-
B.
Chocolate Fortress
Chocolate Fortress is a castle-themed level in the Chocolate Island area of Super Mario World, featuring challenging platforming and enemy obstacles.
-
C.
Chocolate Me!
"Chocolate Me!" is a children's picture book that celebrates self-acceptance and embracing one's unique appearance, written by actor and author Taye Diggs.
-
D.
Candy
Candy is a common English surname shared by various individuals, including the late Canadian actor and comedian John Candy.
-
E.
Candy
"Candy" is a song by the band Broken Silence.
- 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: Chocolate Disco Triple: [Perfume, notableWork, Chocolate Disco]
Generated description
"Chocolate Disco" is a popular electropop song by the Japanese techno-pop trio Perfume, known for its catchy melody and danceable production.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chocolate Disco Target entity description: "Chocolate Disco" is a popular electropop song by the Japanese techno-pop trio Perfume, known for its catchy melody and danceable production.
-
A.
Hot Chocolates
Hot Chocolates was a 1929 Broadway musical revue known for launching several jazz standards and showcasing prominent African American performers.
-
B.
Chocolate Fortress
Chocolate Fortress is a castle-themed level in the Chocolate Island area of Super Mario World, featuring challenging platforming and enemy obstacles.
-
C.
Chocolate Me!
"Chocolate Me!" is a children's picture book that celebrates self-acceptance and embracing one's unique appearance, written by actor and author Taye Diggs.
-
D.
Candy
"Candy" is a 1999 pop song by American singer Mandy Moore that became her breakout hit and signature early single.
-
E.
Candy
Candy is a common English surname shared by various individuals, including the late Canadian actor and comedian John Candy.
- 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0064c6244819085daf8e1eafdf3f2 |
completed | April 15, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec885d68c8190999529b69bc34fec |
completed | May 9, 2026, 5:39 a.m. |
| NEDg | Description generation | batch_69fec93109c08190a3499e4520e31604 |
completed | May 9, 2026, 5:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fecc6fa8f88190aa6956e6e2b1f8ab |
completed | May 9, 2026, 5:55 a.m. |
Created at: April 10, 2026, 3:08 a.m.