Triple
T10150119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Me'arah O'Neal |
E232611
|
entity |
| Predicate | hasInstagramFollowers |
P73542
|
FINISHED |
| Object | hundreds of thousands |
—
|
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: hundreds of thousands | Statement: [Me'arah O'Neal, hasInstagramFollowers, hundreds of thousands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInstagramFollowers Context triple: [Me'arah O'Neal, hasInstagramFollowers, hundreds of thousands]
-
A.
hasFollowers
Indicates that an entity is followed or subscribed to by one or more other entities.
-
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.
socialMediaFollowerCount
chosen
Indicates the number of followers an entity has on a social media platform.
-
D.
layFollowers
Indicates that one entity is a non-ordained (lay) follower or adherent of another entity, typically a religious figure, institution, or tradition.
-
E.
hasOfficialInstagram
Indicates that an entity possesses or is associated with an official Instagram account.
- 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_69ca84885e48819088a31b127cf44904 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdec03e80c81909c813dae91c56272 |
completed | April 2, 2026, 4:09 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba4f5d88190ba68e63be10b08c7 |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 9:08 p.m.