Triple
T4269797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Best Take |
E96912
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | Magic Editor |
E388432
|
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: Magic Editor | Statement: [Best Take, relatedTo, Magic Editor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Magic Editor Context triple: [Best Take, relatedTo, Magic Editor]
-
A.
Magic Editor
chosen
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.
-
B.
MagE
MagE is a medium-resolution optical echellette spectrograph used on the Magellan telescopes for detailed spectroscopic studies of astronomical objects.
-
C.
Magic Touch
"Magic Touch" is a song featured on Aerosmith's 1987 album *Permanent Vacation*.
-
D.
TextEdit
TextEdit is a simple, built-in macOS application for creating and editing plain text and rich text documents.
-
E.
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.
- 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_69b34543f06c8190915ebb1a4574ffa9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34ffa30c08190913622ffec47d33d |
completed | March 12, 2026, 11:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5b7a456108190afa46344a5ed2118 |
completed | March 14, 2026, 7:31 p.m. |
Created at: March 12, 2026, 11:07 p.m.