Triple
T22028329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Instant Hotspot |
E544020
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | Continuity Camera |
—
|
NE NERFINISHED |
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: [Instant Hotspot, relatedTo, Continuity Camera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Continuity Camera Context triple: [Instant Hotspot, relatedTo, 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.
Caméra One
Caméra One is a French film production company known for producing acclaimed art-house and auteur-driven movies.
-
C.
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.
-
D.
Camara
Camara is the given name of American actress and model Yaya DaCosta, known for her work in film, television, and fashion.
-
E.
Camera 2
Camera 2 is one of the imaging and spectroscopic modules within the Hubble Space Telescope’s Near Infrared Camera and Multi-Object Spectrometer, designed for observations in the near-infrared spectrum.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e2f98c8819083e11eab90942a78 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127cdf5c08190ac804664d6e56fe2 |
completed | April 28, 2026, 9:34 p.m. |
Created at: April 16, 2026, 8:24 p.m.