Triple
T5432862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SpriteKit |
E121536
|
entity |
| Predicate | includes |
P1393
|
FINISHED |
| Object |
SKCameraNode
SKCameraNode is a SpriteKit node class that represents a virtual camera used to control what portion of a 2D scene is visible on screen.
|
E518843
|
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: SKCameraNode | Statement: [SpriteKit, includes, SKCameraNode]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SKCameraNode Context triple: [SpriteKit, includes, SKCameraNode]
-
A.
Context Camera
Context Camera is a high-resolution imaging instrument aboard NASA's Mars Reconnaissance Orbiter used to capture detailed, wide-area photographs of the Martian surface for geological and climate studies.
-
B.
The Camera
The Camera is a seminal photography book by Ansel Adams that explores the technical and artistic use of cameras in creating expressive photographs.
-
C.
Kwamera
Kwamera is an Oceanic language spoken by indigenous communities on Tanna Island in Vanuatu.
-
D.
SceneKit
SceneKit is a high-level 3D graphics framework from Apple used to build and render interactive 3D scenes and animations across its platforms.
-
E.
Snap Camera
Snap Camera is a desktop application by Snap Inc. that lets users apply Snapchat-style augmented reality lenses and filters to their webcam video for use in video calls and streaming.
- 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: SKCameraNode Triple: [SpriteKit, includes, SKCameraNode]
Generated description
SKCameraNode is a SpriteKit node class that represents a virtual camera used to control what portion of a 2D scene is visible on screen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SKCameraNode Target entity description: SKCameraNode is a SpriteKit node class that represents a virtual camera used to control what portion of a 2D scene is visible on screen.
-
A.
Context Camera
Context Camera is a high-resolution imaging instrument aboard NASA's Mars Reconnaissance Orbiter used to capture detailed, wide-area photographs of the Martian surface for geological and climate studies.
-
B.
The Camera
The Camera is a seminal photography book by Ansel Adams that explores the technical and artistic use of cameras in creating expressive photographs.
-
C.
Kwamera
Kwamera is an Oceanic language spoken by indigenous communities on Tanna Island in Vanuatu.
-
D.
SceneKit
SceneKit is a high-level 3D graphics framework from Apple used to build and render interactive 3D scenes and animations across its platforms.
-
E.
Snap Camera
Snap Camera is a desktop application by Snap Inc. that lets users apply Snapchat-style augmented reality lenses and filters to their webcam video for use in video calls and streaming.
- 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_69bd463c65f0819082ee6483ab4b466a |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8840ade481909dae2eecc77d73b8 |
completed | March 20, 2026, 5:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf3ac985e48190ba9610e0563c73ab |
completed | March 22, 2026, 12:41 a.m. |
| NEDg | Description generation | batch_69bf3b663b148190807d35421c911d74 |
completed | March 22, 2026, 12:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf3c2b9d04819081a946e9f68c4eb2 |
completed | March 22, 2026, 12:47 a.m. |
Created at: March 20, 2026, 2:06 p.m.