Triple
T22842895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lightworks |
E566128
|
entity |
| Predicate | album |
P1995
|
FINISHED |
| Object | Donuts |
—
|
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: Donuts | Statement: [Lightworks, album, Donuts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donuts Context triple: [Lightworks, album, 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.
DONUT
DONUT is a physics experiment, likely in the field of particle or nuclear physics, known by the acronym DONUT.
-
C.
Big Donut
Big Donut is a small, locally owned donut shop and hangout spot in Beach City from the animated series "Steven Universe."
-
D.
Mister Donut
Mister Donut is an international doughnut and coffee shop chain, originally founded in the United States and now best known for its widespread presence and popularity in Japan and parts of Asia.
-
E.
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.
- 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_69e245869e188190a196584f36e682da |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e866080819091adfb41cd2a4e13 |
completed | April 29, 2026, 3:44 a.m. |
Created at: April 17, 2026, 3:36 p.m.