Triple
T1892148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Handoff |
E41895
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | Continuity Camera |
E127268
|
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: [Handoff, relatedTo, Continuity Camera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Continuity Camera Context triple: [Handoff, relatedTo, Continuity Camera]
-
A.
Cyber-shot
Cyber-shot is Sony's line of compact digital still cameras known for their portability, advanced imaging features, and consumer-friendly design.
-
B.
EPIC camera
The EPIC camera is a NASA Earth-observing instrument aboard the Deep Space Climate Observatory that continuously images the sunlit side of Earth from the L1 Lagrange point to monitor atmospheric and surface conditions.
-
C.
Kwamera
Kwamera is an Oceanic language spoken by indigenous communities on Tanna Island in Vanuatu.
-
D.
Megacam
Megacam is a wide-field optical imaging camera used on large ground-based telescopes for deep, high-resolution astronomical surveys.
-
E.
Continuity
chosen
Continuity is Apple’s ecosystem feature set that seamlessly links activities and data across iPhone, iPad, Mac, Apple Watch, and other Apple devices for a unified user experience.
- 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_69a8864b6de0819098d089f6a1b910a7 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb145f96c8190a71bb9e442892e68 |
completed | March 7, 2026, 5:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69addf68a8d48190a3360557def67692 |
completed | March 8, 2026, 8:43 p.m. |
Created at: March 4, 2026, 7:34 p.m.