Triple
T3789547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pixel 8a |
E89611
|
entity |
| Predicate | supports |
P516
|
FINISHED |
| Object |
Magic Editor
Magic Editor is an AI-powered photo editing feature on Google Pixel devices that lets users easily reframe, reposition, and enhance elements within their images.
|
E388432
|
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: Magic Editor | Statement: [Pixel 8a, supports, Magic Editor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Magic Editor Context triple: [Pixel 8a, supports, Magic Editor]
-
A.
MagE
MagE is a medium-resolution optical echellette spectrograph used on the Magellan telescopes for detailed spectroscopic studies of astronomical objects.
-
B.
TextEdit
TextEdit is a simple, built-in macOS application for creating and editing plain text and rich text documents.
-
C.
Spellmonger
Spellmonger is a long-running epic fantasy novel series by Terry Mancour that follows the rise of a battle-weary mage in a richly detailed, war-torn world.
-
D.
StarWriter
StarWriter is a word processing application that was part of the StarOffice office suite, serving as its primary tool for creating and editing text documents.
-
E.
elfedit
elfedit is a GNU Binutils utility used to display and modify ELF (Executable and Linkable Format) object file headers.
- 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: Magic Editor Triple: [Pixel 8a, supports, Magic Editor]
Generated description
Magic Editor is an AI-powered photo editing feature on Google Pixel devices that lets users easily reframe, reposition, and enhance elements within their images.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Magic Editor Target entity description: Magic Editor is an AI-powered photo editing feature on Google Pixel devices that lets users easily reframe, reposition, and enhance elements within their images.
-
A.
MagE
MagE is a medium-resolution optical echellette spectrograph used on the Magellan telescopes for detailed spectroscopic studies of astronomical objects.
-
B.
TextEdit
TextEdit is a simple, built-in macOS application for creating and editing plain text and rich text documents.
-
C.
Spellmonger
Spellmonger is a long-running epic fantasy novel series by Terry Mancour that follows the rise of a battle-weary mage in a richly detailed, war-torn world.
-
D.
StarWriter
StarWriter is a word processing application that was part of the StarOffice office suite, serving as its primary tool for creating and editing text documents.
-
E.
elfedit
elfedit is a GNU Binutils utility used to display and modify ELF (Executable and Linkable Format) object file headers.
- 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_69aed9597d6881909b6ee3b9de859223 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee76733248190a24a1143c64bd6c6 |
completed | March 9, 2026, 3:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4f05326dc81909a4523c8f2062c25 |
completed | March 14, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_69b4f173d66881909301bfc45d10b3d1 |
completed | March 14, 2026, 5:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4f1ecdd788190aebea36578923fad |
completed | March 14, 2026, 5:28 a.m. |
Created at: March 9, 2026, 3:15 p.m.