Triple
T8471675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Font Manager |
E200293
|
entity |
| Predicate | providesAPI |
P1395
|
FINISHED |
| Object | FMSwapFont |
E200293
|
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: FMSwapFont | Statement: [Font Manager, providesAPI, FMSwapFont]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FMSwapFont Context triple: [Font Manager, providesAPI, FMSwapFont]
-
A.
Font Manager
chosen
Font Manager is a classic Macintosh Toolbox component responsible for managing fonts and text rendering on early Mac OS systems.
-
B.
ChooseFont
ChooseFont is a Windows common dialog box function that lets applications display a standard interface for users to select and configure font settings.
-
C.
Font’s Point
Font’s Point is a scenic overlook in California’s Anza-Borrego Desert famed for its sweeping sunrise views over the eroded badlands.
-
D.
Adobe Fonts
Adobe Fonts is a subscription-based online font library and management service offering thousands of high-quality typefaces for use across desktop and web design projects.
-
E.
Avenir
Avenir is Buick’s top-tier luxury sub-brand and trim line, offering more premium materials, advanced features, and upscale styling than the brand’s standard models.
- 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_69ca831a4f348190bfdd09250e86ae35 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe4f3a81881908f20514579945ffa |
completed | March 31, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce39fc9bf481908e37919b13465d18 |
completed | April 2, 2026, 9:42 a.m. |
Created at: March 30, 2026, 6:11 p.m.