Triple
T5768444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Continuity |
E127268
|
entity |
| Predicate | includesFeature |
P182
|
FINISHED |
| Object | Continuity Camera |
E263157
|
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: Continuity Camera | Statement: [Continuity, includesFeature, Continuity Camera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Continuity Camera Context triple: [Continuity, includesFeature, Continuity Camera]
-
A.
Continuity Camera
chosen
Continuity Camera is an Apple feature that lets you use your iPhone as a high-quality camera and scanner for your Mac and other Apple devices.
-
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.
Cyber-shot
Cyber-shot is Sony's line of compact digital still cameras known for their portability, advanced imaging features, and consumer-friendly design.
-
D.
Suprime-Cam
Suprime-Cam is a wide-field optical imaging camera used on the Subaru Telescope to capture deep, high-resolution images of the night sky.
-
E.
Lytro
Lytro was a pioneering technology company known for developing consumer light-field cameras that allowed users to refocus images after they were taken.
- 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_69c00834f6308190851b0abeddd8ed7e |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02974ae2c8190aee5ee61fc69ad79 |
completed | March 22, 2026, 5:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e61127c8190833e279403af6605 |
completed | March 22, 2026, 11:42 p.m. |
Created at: March 22, 2026, 3:49 p.m.