Triple
T27993442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jackie Aina |
E706940
|
entity |
| Predicate | socialMediaGenre |
P130925
|
FINISHED |
| Object | beauty |
—
|
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: beauty | Statement: [Jackie Aina, socialMediaGenre, beauty]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: socialMediaGenre Context triple: [Jackie Aina, socialMediaGenre, beauty]
-
A.
socialMediaCategory
Indicates the classification or type of social media context, platform, or content associated with an entity or interaction.
-
B.
socialMedia
Indicates a relationship where one entity uses, is associated with, or interacts through social networking or content-sharing platforms with another entity.
-
C.
socialMediaTrend
Indicates that something is currently popular, widely discussed, or rapidly spreading in visibility and engagement on social media platforms.
-
D.
socialType
Indicates the category or nature of a social relationship or interaction that exists between entities.
-
E.
socialMediaContentFocus
chosen
Indicates that the primary topic or emphasis of a piece of social media content is centered on a specified subject or theme.
- 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_69ef96b980d88190a753b2f9a978595a |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f68f670b608190a0b6ab60d722b4e0 |
completed | May 2, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69f68b78f29481908cc8f390496dee97 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 27, 2026, 7:51 p.m.