Triple
T26446179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Brent |
E665218
|
entity |
| Predicate | cameraInteraction |
P39278
|
FINISHED |
| Object | often addresses the documentary crew directly |
—
|
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: often addresses the documentary crew directly | Statement: [David Brent, cameraInteraction, often addresses the documentary crew directly]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cameraInteraction Context triple: [David Brent, cameraInteraction, often addresses the documentary crew directly]
-
A.
viewerInteraction
chosen
Indicates that one entity engages with or responds to content presented by another entity, such as by viewing, reacting, or otherwise interacting with it.
-
B.
cameraOperator
Indicates that one entity operates, controls, or is responsible for handling the camera for another entity or production.
-
C.
cameraSystem
Indicates a relationship where an entity functions as or is part of a camera-based monitoring or imaging system.
-
D.
cameraSwitchesTo
Indicates that the active camera view changes from one camera to another.
-
E.
toggleInCameraUI
Indicates that an entity is being switched between active and inactive states within a camera-related user interface.
- F. None of above.
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_69ee883d5040819097dd154643005230 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f6126143108190a6388795a710917d |
completed | May 2, 2026, 3:04 p.m. |
| PD | Predicate disambiguation | batch_69f602d5c8808190a1fdbebd6f0981e8 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 27, 2026, 12:02 a.m.