Triple
T21966401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ratatat Remixes Vol. 2 |
E542469
|
entity |
| Predicate | artist |
P184
|
FINISHED |
| Object | Ratatat |
—
|
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: Ratatat | Statement: [Ratatat Remixes Vol. 2, artist, Ratatat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ratatat Context triple: [Ratatat Remixes Vol. 2, artist, Ratatat]
-
A.
Ratatat
chosen
Ratatat is an American electronic rock duo known for their guitar-driven instrumentals and influential collaborations in hip hop and indie music.
-
B.
Razzamatazz
Razzamatazz is a cocktail ingredient or component drink commonly associated with the Kamikaze cocktail.
-
C.
Eat That Rat
Eat That Rat is a track from the album "Animal Boy" by the American punk rock band Ramones.
-
D.
Rattle & Snap
Rattle & Snap is a whiskey brand produced by Log Still Distillery, known for its Tennessee-style expressions and heritage-inspired branding.
-
E.
Bangarang
Bangarang is a popular electronic dance music EP and title track by American producer Skrillex, known for its aggressive dubstep sound and high-energy production.
- 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_69e0c47fab1081908dc74a6545dbb051 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1245b821c8190816058c2a07707a3 |
completed | April 28, 2026, 9:19 p.m. |
Created at: April 16, 2026, 8:01 p.m.