Triple
T24726925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stormy Daniels–Donald Trump scandal |
E618178
|
entity |
| Predicate | trumpMaritalStatusAtTime |
P20884
|
FINISHED |
| Object | married to Melania Trump |
—
|
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: married to Melania Trump | Statement: [Stormy Daniels–Donald Trump scandal, trumpMaritalStatusAtTime, married to Melania Trump]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trumpMaritalStatusAtTime Context triple: [Stormy Daniels–Donald Trump scandal, trumpMaritalStatusAtTime, married to Melania Trump]
-
A.
endTime (marriage to Donald Trump)
Indicates the date and time at which the marriage to Donald Trump legally or formally concluded.
-
B.
spouseStatusAtMarriage
Indicates the marital status each partner held at the time their marriage to one another was formed.
-
C.
marital status
chosen
Indicates the legal or social state of a person’s marriage-related relationship, such as being single, married, divorced, or widowed.
-
D.
hasMaritalStatusAtEnd
Indicates that an entity possesses a specific marital status at the end of a given period, event, or reference time.
-
E.
marriedToSteveHarveyDuring
Indicates that someone was married to Steve Harvey during a specified time period.
- 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_69f422aee0408190899efe7e24ef2b40 |
completed | May 1, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69f420e92cc88190a803aecdae78a051 |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 3:59 a.m.