Triple
T16504872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yung Joc |
E400899
|
entity |
| Predicate | single |
P3283
|
FINISHED |
| Object | "Coffee Shop" |
E1217507
|
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: "Coffee Shop" | Statement: [Yung Joc, single, "Coffee Shop"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: "Coffee Shop" Context triple: [Yung Joc, single, "Coffee Shop"]
-
A.
"Coffee Shop"
chosen
"Coffee Shop" is a 2007 hip hop single by American rapper Yung Joc featuring Gorilla Zoe, known for its catchy, laid-back vibe and playful lyrics about a drug-dealing metaphor.
-
B.
Starfish and Coffee
"Starfish and Coffee" is a whimsical, childlike pop song by Prince from his acclaimed 1987 double album *Sign o’ the Times*.
-
C.
The Cafe
The Cafe is a casual dining spot where people can relax, socialize, and enjoy beverages and light meals.
-
D.
Electric Café
Electric Café is a studio album by American R&B/pop group En Vogue that marked their return with a contemporary, electronically influenced sound.
-
E.
Rockin’ & Roastin’ Coffee
Rockin’ & Roastin’ Coffee is a coffee brand and company founded by Aerosmith drummer Joey Kramer, known for its rock-themed branding and premium coffee blends.
- 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_69d88381f6148190819958a038be990e |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e51ce1c81909548298f703a7ffa |
completed | April 18, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00607e933c8190ae0572583b5a9cbf |
completed | May 10, 2026, 10:39 a.m. |
Created at: April 10, 2026, 5:14 a.m.