Triple
T22918125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jake Paul |
E568785
|
entity |
| Predicate | socialMediaFollowingApproximate |
P129944
|
FINISHED |
| Object | tens of millions of followers across platforms |
—
|
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: tens of millions of followers across platforms | Statement: [Jake Paul, socialMediaFollowingApproximate, tens of millions of followers across platforms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: socialMediaFollowingApproximate Context triple: [Jake Paul, socialMediaFollowingApproximate, tens of millions of followers across platforms]
-
A.
socialMediaFollowerCount
Indicates the number of followers an entity has on a social media platform.
-
B.
followsApproximately
Indicates that one entity follows another in sequence or order, but with some allowable deviation or inexactness in timing, position, or pattern.
-
C.
estimatedFollowers
chosen
Indicates that a numerical value represents an approximation of how many followers an entity has.
-
D.
followedIn
Indicates that one entity began following or subscribing to another entity, typically in a social or sequential context.
-
E.
hasFollowers
Indicates that an entity is followed or subscribed to by one or more other entities.
- 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_69e2458d90c88190a58cead4e781ca6a |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1807b254c8190bb84596dcacaa35e |
completed | April 29, 2026, 3:52 a.m. |
| PD | Predicate disambiguation | batch_69ef3b7c5fc081909ac50c5c8569cc19 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:42 p.m.