Triple
T24743767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Studio TC6 |
E618636
|
entity |
| Predicate | hasCameraSystem |
P138741
|
FINISHED |
| Object | studio television cameras |
—
|
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: studio television cameras | Statement: [Studio TC6, hasCameraSystem, studio television cameras]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCameraSystem Context triple: [Studio TC6, hasCameraSystem, studio television cameras]
-
A.
hasCamera
Indicates that an entity is equipped with or possesses a camera.
-
B.
cameraSystem
chosen
Indicates a relationship where an entity functions as or is part of a camera-based monitoring or imaging system.
-
C.
hasDedicatedCameraButton
Indicates that an object or device includes a specific physical button intended solely for activating or controlling the camera function.
-
D.
hasSecondaryCamera
Indicates that an entity is equipped with or associated with an additional, non-primary camera.
-
E.
hasInnerSelfieCamera
Indicates that an object (typically a device) is equipped with a front-facing or inward-facing selfie camera.
- 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_69e2fab8f95c81908bb9e552cf3280c2 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f410a25ab88190a72db43043c1f6ff |
completed | May 1, 2026, 2:32 a.m. |
| PD | Predicate disambiguation | batch_69f40ef612c88190ab2f3f08d4a92018 |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 4:20 a.m.