Triple
T2339799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barack Obama 2012 presidential campaign |
E44996
|
entity |
| Predicate | usedSocialMedia |
P20322
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Barack Obama 2012 presidential campaign, usedSocialMedia, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedSocialMedia Context triple: [Barack Obama 2012 presidential campaign, usedSocialMedia, yes]
-
A.
socialMedia
chosen
Indicates a relationship where one entity uses, is associated with, or interacts through social networking or content-sharing platforms with another entity.
-
B.
mediaUse
Indicates that an entity makes use of, consumes, or engages with a particular medium or media resource.
-
C.
socialMediaPlatformAssociatedWith
Indicates that there is an association or linkage between an entity and a specific social media platform.
-
D.
usedByMedia
Indicates that something is employed or utilized by media organizations or media-related channels.
-
E.
isPopularOnSocialMedia
Indicates that an entity is widely followed, frequently engaged with, or broadly recognized across social media platforms.
- 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_69a88917935081909b755dbf38e81024 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abc6f75d888190a2e41edaa532e83f |
completed | March 7, 2026, 6:34 a.m. |
| PD | Predicate disambiguation | batch_69abc594087c819098100a10c5478a4b |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:52 p.m.