Triple
T19666071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dallas Green |
E472200
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object | City and Colour |
—
|
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: City and Colour | Statement: [Dallas Green, memberOf, City and Colour]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City and Colour Context triple: [Dallas Green, memberOf, City and Colour]
-
A.
City and Colour
chosen
City and Colour is the folk-influenced acoustic solo project of Canadian singer-songwriter Dallas Green, known for its emotive lyrics and mellow, melodic sound.
-
B.
Iron & Wine
Iron & Wine is the stage name of American singer-songwriter Sam Beam, known for his intimate, folk-inspired music and hushed vocal style.
-
C.
Lord Huron
Lord Huron is an American indie folk band known for its cinematic, atmospheric sound and storytelling-driven songs such as "The Night We Met."
-
D.
The Great Lake Swimmers
The Great Lake Swimmers are a Canadian indie folk band known for their atmospheric, introspective songs and lush, acoustic soundscapes.
-
E.
The Antlers
The Antlers are an American indie rock band known for their atmospheric soundscapes and emotionally intense, often concept-driven albums.
- 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_69d8e514f2e08190ba70a4449519d218 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6416857c88190acb3adbf3e585fe5 |
completed | April 20, 2026, 3:08 p.m. |
Created at: April 10, 2026, 1:45 p.m.