Triple
T24726905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stormy Daniels–Donald Trump scandal |
E618178
|
entity |
| Predicate | paymentConcealmentMethod |
P158096
|
FINISHED |
| Object | non-disclosure agreement |
—
|
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: non-disclosure agreement | Statement: [Stormy Daniels–Donald Trump scandal, paymentConcealmentMethod, non-disclosure agreement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: paymentConcealmentMethod Context triple: [Stormy Daniels–Donald Trump scandal, paymentConcealmentMethod, non-disclosure agreement]
-
A.
paymentMethod
Indicates the means or instrument through which a payment is made in a transaction.
-
B.
payType
Indicates the method or category of payment used in a transaction or compensation arrangement.
-
C.
billingMethod
Indicates the way in which payment is arranged, processed, or charged for a product, service, or account.
-
D.
paymentFormFactor
Indicates the specific method or medium through which a payment is made or presented (e.g., card, mobile wallet, cash).
-
E.
paymentSystem
Indicates a relationship where one entity functions as a mechanism or platform through which another entity makes or processes payments.
- F. None of above. chosen
Provenance (4 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_69e2fab772608190b74163751047ff50 |
completed | April 18, 2026, 3:29 a.m. |
| NER | Named-entity recognition | batch_69f464b4c9b0819085daa00c7c3b8b76 |
completed | May 1, 2026, 8:30 a.m. |
| PD | Predicate disambiguation | batch_69f45cf017a88190b4985b11159c907d |
completed | May 1, 2026, 7:57 a.m. |
| PDg | Predicate description generation | batch_69f464ae42e88190b3549fdf4e0b425e |
completed | May 1, 2026, 8:30 a.m. |
Created at: April 18, 2026, 3:59 a.m.