Triple
T38619577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blackmagic URSA Broadcast G2 |
E936831
|
entity |
| Predicate | hasVideoInput |
P195991
|
FINISHED |
| Object | 12G-SDI return |
—
|
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: 12G-SDI return | Statement: [Blackmagic URSA Broadcast G2, hasVideoInput, 12G-SDI return]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVideoInput Context triple: [Blackmagic URSA Broadcast G2, hasVideoInput, 12G-SDI return]
-
A.
hasVideoRecordingAvailableOn
Indicates that a video recording of something is accessible or hosted on a specified platform, service, or medium.
-
B.
hasVideoRecording
Indicates that there exists an associated video recording capturing or documenting the referenced entity or event.
-
C.
hasCompositeVideoOutput
Indicates that a device provides a composite video output connection for transmitting standard-definition analog video signals.
-
D.
hasVideoContent
Indicates that an entity includes or is associated with video-based media as part of its content.
-
E.
hasCamera
Indicates that an entity is equipped with or possesses a camera.
- 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_69f76ed403208190b862dc795171353f |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fdfbafe32081909c62653ff4fc155c |
completed | May 8, 2026, 3:05 p.m. |
| PD | Predicate disambiguation | batch_69fdf64db4a881908f8250e24ae3cefb |
completed | May 8, 2026, 2:42 p.m. |
| PDg | Predicate description generation | batch_69fdfbae00e481908a2e4558b9dee07e |
completed | May 8, 2026, 3:05 p.m. |
Created at: May 3, 2026, 4:32 p.m.