Triple
T7033277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Develop module |
E163318
|
entity |
| Predicate | supportsTool |
P12724
|
FINISHED |
| Object | Adjustment Brush |
E30414
|
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: Adjustment Brush | Statement: [Develop module, supportsTool, Adjustment Brush]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adjustment Brush Context triple: [Develop module, supportsTool, Adjustment Brush]
-
A.
Ken Burns effect
The Ken Burns effect is a filmmaking and video editing technique that creates motion by slowly panning and zooming over still photographs to add visual interest and narrative emphasis.
-
B.
Photo Unblur
Photo Unblur is a Google Photos feature that uses AI to sharpen and clarify blurry images, improving their overall quality and detail.
-
C.
Sharpness Lock
Sharpness Lock is a key lock structure at the southern end of the Gloucester and Sharpness Canal that connects the canal to the Severn Estuary and enables ships to navigate between them.
-
D.
Adobe Lightroom
chosen
Adobe Lightroom is a professional photo editing and management software application widely used by photographers for organizing, enhancing, and sharing digital images.
-
E.
Bokeh
Bokeh is an interactive visualization library for Python that enables the creation of rich, web-ready plots and dashboards from large or streaming datasets.
- 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_69c6885d691c81908cf7d31083113886 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e2118fc88190a0751ca18eafb4a5 |
completed | March 27, 2026, 8:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7759c8e408190a7d457e77a44ee26 |
completed | March 28, 2026, 6:30 a.m. |
Created at: March 27, 2026, 2:36 p.m.