Triple
T16402294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whitney Scott Mathers |
E398329
|
entity |
| Predicate | hasPublicSocialMedia |
P30376
|
FINISHED |
| Object | not prominently known |
—
|
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: not prominently known | Statement: [Whitney Scott Mathers, hasPublicSocialMedia, not prominently known]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPublicSocialMedia Context triple: [Whitney Scott Mathers, hasPublicSocialMedia, not prominently known]
-
A.
hasSocialService
Indicates that an entity provides, offers, or is associated with a social service to another entity or community.
-
B.
hasSocialEngagement
Indicates that an entity participates in or maintains some form of social interaction, activity, or relationship with others.
-
C.
hasPublic
Indicates that an entity is accessible or visible to the general public rather than being private or restricted.
-
D.
hasSocialIdentity
Indicates that an entity possesses or is associated with a particular social identity, such as a role, group membership, or socially recognized status.
-
E.
isPopularOnSocialMedia
chosen
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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e327d0652081908f42f78b156f3ae7 |
completed | April 18, 2026, 6:42 a.m. |
| PD | Predicate disambiguation | batch_69e226fe1dd08190865c181721f8c348 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:09 a.m.