Triple
T22573590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reddit moderators |
E544334
|
entity |
| Predicate | typicallyReceives |
P39152
|
FINISHED |
| Object | no direct payment from Reddit |
—
|
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: no direct payment from Reddit | Statement: [Reddit moderators, typicallyReceives, no direct payment from Reddit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicallyReceives Context triple: [Reddit moderators, typicallyReceives, no direct payment from Reddit]
-
A.
receives
Indicates that one entity is the recipient of something (such as an object, message, or action) from another entity.
-
B.
typicallyHolds
chosen
Indicates that a certain relationship or condition generally holds true in typical or normal situations, though not necessarily in all cases.
-
C.
recipientOf
Indicates that one entity is the receiver or beneficiary of something (such as an item, message, or action) from another entity.
-
D.
receiverType
Indicates the category or classification of the entity that receives something (such as a message, resource, or action) in the relationship.
-
E.
typicallyObserves
Indicates that one entity, in the normal or usual course of events, observes, watches, or monitors another entity.
- 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_69e11e30d05481909df915354c89f0d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f15fea683c81908fbf9f171eed3341 |
completed | April 29, 2026, 1:33 a.m. |
| PD | Predicate disambiguation | batch_69ee626e6bb08190ada4dd8b48cc0c43 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 16, 2026, 8:53 p.m.