Triple
T6118352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jay Dee |
E136415
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Donuts |
E135693
|
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: Donuts | Statement: [Jay Dee, notableWork, Donuts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donuts Context triple: [Jay Dee, notableWork, Donuts]
-
A.
Donuts
chosen
Donuts is a highly influential 2006 instrumental hip-hop album by producer J Dilla, celebrated for its innovative sampling, emotional depth, and lasting impact on beat-making and underground hip-hop.
-
B.
Lard Lad Donuts
Lard Lad Donuts is a fictional donut shop and iconic landmark in The Simpsons’ town of Springfield, known for its giant statue of a boy holding a massive donut.
-
C.
Voodoo Doughnut
Voodoo Doughnut is a quirky, Portland-born doughnut shop chain famous for its creative, over-the-top doughnuts and eclectic atmosphere.
-
D.
The Doughnut
The Doughnut is the distinctive circular headquarters building of the UK's Government Communications Headquarters (GCHQ) intelligence and security organization in Cheltenham.
-
E.
Twinkie
Twinkie is a hustling, street-smart high school student in The Fast and the Furious: Tokyo Drift who introduces the protagonist to Tokyo’s underground drift racing scene.
- 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_69c0089f851c81909e5e189a617dcff6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05bec9b8c8190b3268b0ba952aae6 |
completed | March 22, 2026, 9:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1257153748190947cd80589620f12 |
completed | March 23, 2026, 11:35 a.m. |
Created at: March 22, 2026, 4:14 p.m.