Triple
T22842986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donuts |
E566131
|
entity |
| Predicate | artist |
P184
|
FINISHED |
| Object | The Donnas |
—
|
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: The Donnas | Statement: [Donuts, artist, The Donnas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Donnas Context triple: [Donuts, artist, The Donnas]
-
A.
The Donnas
chosen
The Donnas were an American all-female rock band known for their high-energy, punk-influenced sound and party-themed anthems that gained popularity in the late 1990s and early 2000s.
-
B.
Donnas
Donnas is a small Italian municipality in the Aosta Valley region, known for its historic stone arch of the Roman road and terraced vineyards along the Dora Baltea river.
-
C.
The Angelettes
The Angelettes were a British female vocal group known for providing backing harmonies on various pop and rock recordings in the 1970s.
-
D.
The Murmurs
The Murmurs were an American alternative pop duo best known for their 1994 hit single "You Suck," featuring musician and actress Leisha Hailey.
-
E.
The Dears
The Dears are a Canadian indie rock band from Montreal known for their orchestral sound, dramatic arrangements, and emotionally charged performances.
- 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.