Triple
T16722983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Champion Sound |
E406394
|
entity |
| Predicate | featuresArtist |
P1952
|
FINISHED |
| Object | Frank-N-Dank |
E566118
|
NE FINISHED |
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: Frank-N-Dank | Statement: [Champion Sound, featuresArtist, Frank-N-Dank]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frank-N-Dank Context triple: [Champion Sound, featuresArtist, Frank-N-Dank]
-
A.
Frank-N-Dank
chosen
Frank-N-Dank is a Detroit hip hop duo known for their close collaboration with producer J Dilla and their raw, energetic underground rap style.
-
B.
Fu-Schnickens
Fu-Schnickens was an early 1990s American hip hop group known for their fast-paced, tongue-twisting raps and playful, Afrocentric style.
-
C.
Danko
Danko is a surname most notably associated with Rick Danko, the Canadian musician and bassist for the influential rock group The Band.
-
D.
FANK
FANK was the acronym for the Khmer National Armed Forces, the military of the pro-U.S. Lon Nol government in Cambodia during the Cambodian Civil War.
-
E.
Frank the sausage
Frank the sausage is the hot dog protagonist of the adult animated film "Sausage Party," known for questioning his supermarket reality and seeking the truth about what happens to food after purchase.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e387449eb08190b174f8e142ea631b |
completed | April 18, 2026, 1:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009d43c49081908eca922da8f90793 |
completed | May 10, 2026, 2:59 p.m. |
Created at: April 10, 2026, 5:20 a.m.