Triple
T321718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | macOS |
E6427
|
entity |
| Predicate | supportsFeature |
P203
|
FINISHED |
| Object |
Sidecar
Sidecar is a macOS feature that lets you use an iPad as a secondary display and input device for your Mac, supporting Apple Pencil and touch interactions.
|
E41431
|
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: Sidecar | Statement: [macOS, supportsFeature, Sidecar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sidecar Context triple: [macOS, supportsFeature, Sidecar]
-
A.
Rider
Rider is a cross-platform integrated development environment by JetBrains, widely used for .NET and C# development.
-
B.
Swoop
Swoop is the Philadelphia Eagles’ official bald eagle mascot, known for entertaining fans at games and team events.
-
C.
The RIDE
The RIDE is the Massachusetts Bay Transportation Authority’s door-to-door paratransit service for people with disabilities who are unable to use standard fixed-route public transit.
-
D.
Flivver
Flivver is a colloquial nickname for the Ford Model T, the iconic early 20th-century mass-produced automobile that revolutionized personal transportation.
-
E.
Bagshot
Bagshot is a village in the county of Surrey, England, known historically as a coaching stop and for its proximity to Bagshot Park, a royal residence.
- 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: Sidecar Triple: [macOS, supportsFeature, Sidecar]
Generated description
Sidecar is a macOS feature that lets you use an iPad as a secondary display and input device for your Mac, supporting Apple Pencil and touch interactions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sidecar Target entity description: Sidecar is a macOS feature that lets you use an iPad as a secondary display and input device for your Mac, supporting Apple Pencil and touch interactions.
-
A.
Rider
Rider is a cross-platform integrated development environment by JetBrains, widely used for .NET and C# development.
-
B.
Swoop
Swoop is the Philadelphia Eagles’ official bald eagle mascot, known for entertaining fans at games and team events.
-
C.
The RIDE
The RIDE is the Massachusetts Bay Transportation Authority’s door-to-door paratransit service for people with disabilities who are unable to use standard fixed-route public transit.
-
D.
Flivver
Flivver is a colloquial nickname for the Ford Model T, the iconic early 20th-century mass-produced automobile that revolutionized personal transportation.
-
E.
Bagshot
Bagshot is a village in the county of Surrey, England, known historically as a coaching stop and for its proximity to Bagshot Park, a royal residence.
- 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_69a2e7933d6c8190bb2592ad13286ef2 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea81a1e88190b3496070eb3d85f5 |
completed | Feb. 28, 2026, 1:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3cb006f348190b2e8901eb2ced9f3 |
completed | March 1, 2026, 5:13 a.m. |
| NEDg | Description generation | batch_69a3cb608d5481908e43e0c0d021f925 |
completed | March 1, 2026, 5:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3cc0fb7b48190bf002516d07b6bc5 |
completed | March 1, 2026, 5:18 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.