Triple
T20542289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bee Girl |
E504369
|
entity |
| Predicate | settingInVideo |
P52439
|
FINISHED |
| Object | urban sidewalk |
—
|
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: urban sidewalk | Statement: [Bee Girl, settingInVideo, urban sidewalk]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingInVideo Context triple: [Bee Girl, settingInVideo, urban sidewalk]
-
A.
setting
Indicates the place, time, or context in which an event, action, or interaction occurs.
-
B.
videoStyle
Indicates the stylistic characteristics or presentation format applied to a video (such as tone, visual approach, or editing style).
-
C.
mediaSettingFor
Indicates a configuration or setting that is applied to or associated with a particular media item or media context.
-
D.
filmSetting
chosen
Indicates the place, time, or environment in which the events of a film are set or take place.
-
E.
videoModulation
Indicates a relationship where one entity alters or controls the characteristics of a video signal or stream, such as its amplitude, frequency, or encoding parameters.
- 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_69e0b4b476648190bc6019622ae54d3c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a292dd1c8190b5c3031f3b44eb52 |
completed | April 20, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69e59fe5592c8190bb6122b784496d02 |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:38 a.m.