Triple
T29390800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hans Jørgen Wiberg |
E745363
|
entity |
| Predicate | socialMediaTopic |
P147305
|
FINISHED |
| Object | accessibility technology |
—
|
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: accessibility technology | Statement: [Hans Jørgen Wiberg, socialMediaTopic, accessibility technology]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: socialMediaTopic Context triple: [Hans Jørgen Wiberg, socialMediaTopic, accessibility technology]
-
A.
socialMediaTrend
Indicates that something is currently popular, widely discussed, or rapidly spreading in visibility and engagement on social media platforms.
-
B.
socialPhenomenon
Indicates a relationship where an event, behavior, or pattern emerges from and affects interactions within a society or group.
-
C.
socialMediaCategory
chosen
Indicates the classification or type of social media context, platform, or content associated with an entity or interaction.
-
D.
socialSphereFocus
Indicates a focus of attention, activity, or influence directed toward a particular social group or sphere of relationships.
-
E.
socialMedia
Indicates a relationship where one entity uses, is associated with, or interacts through social networking or content-sharing platforms with another entity.
- 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_69f0a79dfabc81908755382ee47791e2 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f6d0d46aec819091edf97324d793ac |
completed | May 3, 2026, 4:36 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe2183481908ae4e85a59c66f69 |
completed | May 3, 2026, 4:32 a.m. |
Created at: April 28, 2026, 2:42 p.m.