Triple
T20599183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dominique Dawes |
E506128
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Dawes |
—
|
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: Dawes | Statement: [Dominique Dawes, familyName, Dawes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dawes Context triple: [Dominique Dawes, familyName, Dawes]
-
A.
Dawes
Dawes is an American folk-rock band known for its Laurel Canyon-inspired sound and introspective songwriting.
-
B.
Dawes
chosen
Dawes is an English-origin surname borne by various notable individuals across politics, military, arts, and sciences.
-
C.
The Band of Heathens
The Band of Heathens is an American roots rock and Americana band from Austin, Texas, known for its soulful harmonies, eclectic songwriting, and energetic live performances.
-
D.
Old Crow Medicine Show
Old Crow Medicine Show is an American string band known for revitalizing old-time folk and Americana music, particularly through their hit rendition of “Wagon Wheel.”
-
E.
Dr. Dog
Dr. Dog is an American indie rock band known for its lo-fi aesthetic, psychedelic influences, and harmony-rich songwriting.
- 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_69e0b4ba6ae88190af871e1f9522c704 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6aa1e251c8190926dafe1402eb63c |
completed | April 20, 2026, 10:35 p.m. |
Created at: April 16, 2026, 11:40 a.m.