Triple
T24726903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stormy Daniels–Donald Trump scandal |
E618178
|
entity |
| Predicate | paymentMadeBy |
P12961
|
FINISHED |
| Object | Michael Cohen |
—
|
NE NERFINISHED |
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: Michael Cohen | Statement: [Stormy Daniels–Donald Trump scandal, paymentMadeBy, Michael Cohen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: paymentMadeBy Context triple: [Stormy Daniels–Donald Trump scandal, paymentMadeBy, Michael Cohen]
-
A.
paidBy
chosen
Indicates that a payment or financial obligation is made or settled by the specified entity.
-
B.
paymentLinkedTo
Indicates that a payment is associated with, or corresponds to, a specific related entity, transaction, or obligation.
-
C.
paymentMethod
Indicates the means or instrument through which a payment is made in a transaction.
-
D.
payType
Indicates the method or category of payment used in a transaction or compensation arrangement.
-
E.
paymentPlaced
Indicates that a payment has been initiated or submitted for processing in relation to a specific transaction or obligation.
- 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_69e2fab772608190b74163751047ff50 |
completed | April 18, 2026, 3:29 a.m. |
| NER | Named-entity recognition | batch_69f44a417a58819081777e18dda149fd |
completed | May 1, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69f442a977b08190b44eac040cb90211 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 3:59 a.m.