Triple
T23551149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arc |
E578048
|
entity |
| Predicate | artist |
P184
|
FINISHED |
| Object | Blur |
—
|
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: Blur | Statement: [Arc, artist, Blur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blur Context triple: [Arc, artist, Blur]
-
A.
Blur
chosen
Blur is an English rock band central to the 1990s Britpop movement, known for their eclectic sound and socially observant lyrics.
-
B.
Blurry
"Blurry" is a 2001 post-grunge rock ballad by Puddle of Mudd that became their breakout hit and one of the most recognizable rock songs of the early 2000s.
-
C.
Blur Building
Blur Building is an experimental, fog-enshrouded pavilion on Lake Neuchâtel in Switzerland, created by the architecture firm Diller Scofidio + Renfro for Expo.02 as a landmark of media and conceptual architecture.
-
D.
Blurr
Blurr is a fast-talking, speed-obsessed Autobot from the Transformers franchise, often portrayed as a courier or messenger whose rapid speech and movement set him apart from other characters.
-
E.
Iblur
Iblur is a rapidly developing residential and commercial neighborhood in southeastern Bangalore, located along the Outer Ring Road and close to major IT hubs.
- 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_69e245fa93448190919cb04534560542 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1aecf28508190b8d3396591e5e6bb |
completed | April 29, 2026, 7:10 a.m. |
Created at: April 17, 2026, 6:11 p.m.