Triple
T20399433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lytro |
E500291
|
entity |
| Predicate | notableProduct |
P1448
|
FINISHED |
| Object | Lytro Cinema |
—
|
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: Lytro Cinema | Statement: [Lytro, notableProduct, Lytro Cinema]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lytro Cinema Context triple: [Lytro, notableProduct, Lytro Cinema]
-
A.
Lytro
chosen
Lytro was a pioneering technology company known for developing consumer light-field cameras that allowed users to refocus images after they were taken.
-
B.
Aperture
Aperture is a renowned nonprofit photography foundation and publisher known for its influential photobooks and Aperture magazine.
-
C.
Aperture
Aperture was Apple’s professional photo editing and management application for macOS, aimed at photographers needing advanced workflow and image processing tools.
-
D.
VistaVision
VistaVision is a high-resolution widescreen motion picture format developed by Paramount Pictures in the 1950s that runs 35mm film horizontally to achieve finer image quality.
-
E.
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.
- 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_69e0b4a81bec8190b69adfdc1336a015 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6798cf04481909f183c4c75fe6d52 |
completed | April 20, 2026, 7:07 p.m. |
Created at: April 16, 2026, 11:29 a.m.