Triple
T19790144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boney M. |
E475388
|
entity |
| Predicate | genre |
P14
|
FINISHED |
| Object | Euro disco |
—
|
NE NERFINISHED |
How this triple was built (2 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: Euro disco | Statement: [Boney M., genre, Euro disco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Euro disco Context triple: [Boney M., genre, Euro disco]
-
A.
Euro disco
chosen
Euro disco is a style of dance-oriented pop music that emerged in Europe in the 1970s, characterized by lush production, catchy melodies, and strong electronic and disco influences.
-
B.
Disco
Disco is a 2020 studio album by Australian pop singer Kylie Minogue that pays homage to classic disco music with a modern pop twist.
-
C.
Eurodance
Eurodance is a high-energy electronic dance music genre that emerged in late 1980s Europe, blending techno, house, and Euro disco with catchy melodies, synth-driven hooks, and a mix of sung choruses and rap verses.
-
D.
Disko
Disko is the tough, weathered New England fishing captain and father figure in Rudyard Kipling’s novel “Captains Courageous.”
-
E.
Disco Club
"Disco Club" is a song featured on the album "Monkey Business," likely characterized by dance-oriented, disco-influenced music.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6538ae5108190b80eb7de6f445f02 |
completed | April 20, 2026, 4:25 p.m. |
Created at: April 10, 2026, 1:49 p.m.