Triple
T20399446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lytro |
E500291
|
entity |
| Predicate | firstConsumerCameraRelease |
P139993
|
FINISHED |
| Object | 2012 |
—
|
LITERAL 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: 2012 | Statement: [Lytro, firstConsumerCameraRelease, 2012]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstConsumerCameraRelease Context triple: [Lytro, firstConsumerCameraRelease, 2012]
-
A.
firstPublicReleaseDevice
Indicates that the subject is the device on which something (e.g., a product, feature, or software) was first publicly released.
-
B.
firstImagesReleaseDate
Indicates the date on which the first set of images associated with an entity was initially released.
-
C.
firstProductAnnounced
Indicates that an entity is the earliest (chronologically first) product publicly announced by another entity.
-
D.
firstCompleteVersionPremiereDate
Indicates the date on which the first complete version of a work was premiered or publicly presented.
-
E.
originallyShotOn
Indicates that a visual work was first recorded or captured using a particular original medium, format, or equipment.
- F. None of above. chosen
Provenance (4 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. |
| PD | Predicate disambiguation | batch_69e5765d7cb48190adec18d6d1e3d263 |
completed | April 20, 2026, 12:42 a.m. |
| PDg | Predicate description generation | batch_69e58d7481508190a87c8b88f9df9879 |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 16, 2026, 11:29 a.m.