Triple
T32805769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Everio G series |
E839015
|
entity |
| Predicate | mediaManagement |
P180560
|
FINISHED |
| Object | file-based recording |
—
|
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: file-based recording | Statement: [Everio G series, mediaManagement, file-based recording]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediaManagement Context triple: [Everio G series, mediaManagement, file-based recording]
-
A.
mediaAssets
Indicates a relationship where one entity is associated with one or more media-related resources or files (such as images, videos, or audio).
-
B.
mediaWork
Indicates a relationship where one entity is a media-related work (such as a film, book, recording, or other creative media production) associated with another entity.
-
C.
mediaEmpire
Indicates a relationship where an entity controls or significantly influences a large, interconnected collection of media outlets or platforms.
-
D.
mediaArm
Indicates that one entity functions as the media-focused arm, division, or subsidiary of another entity.
-
E.
mediaMoment
Indicates a specific point or segment within a media item (such as a video, audio, or broadcast) where a notable event or action occurs.
- 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_69f3493d35208190b4351b4e85f2fa16 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f7431c0eec81909ead443e07d75e18 |
completed | May 3, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69f74143cf708190a12d487884298437 |
completed | May 3, 2026, 12:36 p.m. |
| PDg | Predicate description generation | batch_69f7431aac148190bb6aac59817c174a |
completed | May 3, 2026, 12:44 p.m. |
Created at: May 1, 2026, 1:15 a.m.