Triple
T4269834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Audio Magic Eraser |
E96913
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | Photo Unblur |
E427099
|
NE FINISHED |
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: Photo Unblur | Statement: [Audio Magic Eraser, relatedTo, Photo Unblur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Photo Unblur Context triple: [Audio Magic Eraser, relatedTo, Photo Unblur]
-
A.
Photo Unblur
chosen
Photo Unblur is a Google Photos feature that uses AI to sharpen and clarify blurry images, improving their overall quality and detail.
-
B.
Blur
Blur is an English rock band central to the 1990s Britpop movement, known for their eclectic sound and socially observant lyrics.
-
C.
WireImage
WireImage is a celebrity and entertainment photography agency known for its extensive coverage of red carpet events, premieres, and industry parties.
-
D.
Images
Images is a set of impressionistic piano pieces by Claude Debussy that evoke vivid, atmospheric soundscapes through innovative harmony and tone color.
-
E.
Images à la sauvette
Images à la sauvette is a seminal 1952 photography book by Henri Cartier-Bresson that helped define the concept of the “decisive moment” in street and documentary photography.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69b34543f06c8190915ebb1a4574ffa9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34ffa30c08190913622ffec47d33d |
completed | March 12, 2026, 11:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5c71fc0bc8190922ae85d3bd23546 |
completed | March 14, 2026, 8:37 p.m. |
Created at: March 12, 2026, 11:07 p.m.