Triple
T24726898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stormy Daniels–Donald Trump scandal |
E618178
|
entity |
| Predicate | paymentAmountUSD |
P24625
|
FINISHED |
| Object | 130000 |
—
|
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: 130000 | Statement: [Stormy Daniels–Donald Trump scandal, paymentAmountUSD, 130000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: paymentAmountUSD Context triple: [Stormy Daniels–Donald Trump scandal, paymentAmountUSD, 130000]
-
A.
paymentAmount
chosen
Indicates the specific monetary value involved in a payment transaction between parties.
-
B.
valueInUSD
Indicates that a given amount or asset is expressed or evaluated in terms of its monetary value in United States dollars (USD).
-
C.
totalAidAmountUSD
Indicates the total monetary value of aid provided, expressed in U.S. dollars.
-
D.
valueInCents
Indicates that one entity specifies the monetary value of another entity expressed in cents.
-
E.
currencyUsedFor
Indicates that a particular currency is used as the medium of exchange or legal tender for a given entity, such as a country, region, or organization.
- 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_69f410fe3b848190ae296a29f742ee30 |
completed | May 1, 2026, 2:33 a.m. |
| PD | Predicate disambiguation | batch_69f40ee8ada8819089a7016b50308ff0 |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 3:59 a.m.