Triple
T8650014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mac OS X 10.3 Panther |
E205074
|
entity |
| Predicate | includedFeature |
P1393
|
FINISHED |
| Object |
Font Book
Font Book is a macOS application used to manage, preview, install, and organize fonts on a Mac.
|
E749668
|
NE FINISHED |
How this triple was built (4 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: Font Book | Statement: [Mac OS X 10.3 Panther, includedFeature, Font Book]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Font Book Context triple: [Mac OS X 10.3 Panther, includedFeature, Font Book]
-
A.
GNOME Font Viewer
GNOME Font Viewer is a desktop utility for the GNOME environment that lets users preview, inspect, and manage installed fonts.
-
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 Manager
Font Manager is a classic Macintosh Toolbox component responsible for managing fonts and text rendering on early Mac OS systems.
-
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.
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.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Font Book Triple: [Mac OS X 10.3 Panther, includedFeature, Font Book]
Generated description
Font Book is a macOS application used to manage, preview, install, and organize fonts on a Mac.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Font Book Target entity description: Font Book is a macOS application used to manage, preview, install, and organize fonts on a Mac.
-
A.
GNOME Font Viewer
GNOME Font Viewer is a desktop utility for the GNOME environment that lets users preview, inspect, and manage installed fonts.
-
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 Manager
Font Manager is a classic Macintosh Toolbox component responsible for managing fonts and text rendering on early Mac OS systems.
-
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.
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.
- F. None of above. chosen
Provenance (5 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_69ca834e56848190abb0eeaec9dedd32 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4813d0548190b203e594acc38c8f |
completed | March 31, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ceccc166548190a1dd706041e4bfa2 |
completed | April 2, 2026, 8:08 p.m. |
| NEDg | Description generation | batch_69cece1681288190a6c99407bc2f0bdd |
completed | April 2, 2026, 8:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cecec118ac81909fbcafe841354c32 |
completed | April 2, 2026, 8:17 p.m. |
Created at: March 30, 2026, 6:29 p.m.