Triple
T12047563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | iPhone 12 Pro |
E286823
|
entity |
| Predicate | frontCameraType |
P58520
|
FINISHED |
| Object | TrueDepth |
E771052
|
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: TrueDepth | Statement: [iPhone 12 Pro, frontCameraType, TrueDepth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TrueDepth Context triple: [iPhone 12 Pro, frontCameraType, TrueDepth]
-
A.
TrueDepth camera system
chosen
The TrueDepth camera system is Apple's front-facing sensor array that enables advanced facial recognition, depth mapping, and expressive features like Face ID and animated emojis on compatible devices.
-
B.
Lytro
Lytro was a pioneering technology company known for developing consumer light-field cameras that allowed users to refocus images after they were taken.
-
C.
Point Grey
Point Grey is a prominent headland and residential neighborhood on Vancouver’s west side, known for its coastal bluffs, beaches, and views over English Bay and the Strait of Georgia.
-
D.
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.
-
E.
OrCam Technologies
OrCam Technologies is an Israeli assistive technology company that develops AI-driven wearable devices to help visually impaired and other disabled users perceive and interact with their surroundings.
- 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d904211b588190bfc7603e5b33dcb7 |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49dc459308190bc88cb550e1d5b86 |
completed | May 1, 2026, 12:34 p.m. |
Created at: April 8, 2026, 9:47 p.m.