Triple
T24928747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sorenson Video |
E618930
|
entity |
| Predicate | roleInQuickTime |
P162849
|
FINISHED |
| Object | primary high-quality web codec in some QuickTime versions |
—
|
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: primary high-quality web codec in some QuickTime versions | Statement: [Sorenson Video, roleInQuickTime, primary high-quality web codec in some QuickTime versions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInQuickTime Context triple: [Sorenson Video, roleInQuickTime, primary high-quality web codec in some QuickTime versions]
-
A.
screenTimeRole
Indicates the role or capacity in which an entity appears on screen, such as main, supporting, cameo, or other participation type.
-
B.
roleInFrame
Indicates that an entity participates in a specific semantic frame by filling a particular role within that frame.
-
C.
roleInRecording
Indicates that an entity holds a specific role or function in the creation or performance of a particular recording.
-
D.
roleInCinerama
Indicates that an entity has a role or participation in a Cinerama film or production.
-
E.
roleInScene
Indicates that an entity participates in a particular scene with a specific role or function within that scene.
- 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_69e2fab9edd88190b86004a78a28bc20 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f62e83045c8190a424a2e401a88e9e |
completed | May 2, 2026, 5:04 p.m. |
| PD | Predicate disambiguation | batch_69f62c1379f08190836c3e02b0c892df |
completed | May 2, 2026, 4:53 p.m. |
| PDg | Predicate description generation | batch_69f62d886828819080ec2f742b9449e3 |
completed | May 2, 2026, 4:59 p.m. |
Created at: April 18, 2026, 5:29 a.m.