Triple
T1607227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marla Maples |
E34532
|
entity |
| Predicate | endTime (marriage to Donald Trump) |
P30235
|
FINISHED |
| Object | 1999 |
—
|
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: 1999 | Statement: [Marla Maples, endTime (marriage to Donald Trump), 1999]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endTime (marriage to Donald Trump) Context triple: [Marla Maples, endTime (marriage to Donald Trump), 1999]
-
A.
endTime (spouse Kerry Kennedy)
Indicates the time at which the marital relationship with spouse Kerry Kennedy concluded.
-
B.
spouseRelationshipEnd
Indicates that a marital relationship between two individuals has ended, such as through divorce, annulment, or separation.
-
C.
endTime (spouse Edward VIII)
Indicates the time at which the marital relationship with Edward VIII concluded.
-
D.
marries
Indicates that one entity enters into a legally or socially recognized marital union with another entity.
-
E.
marriedAfter
Indicates that one marriage occurred later in time than another specified marriage.
- 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_69a885fea6a481909fe83ba6441f1774 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a93fa6926081908bc78d15c0be3185 |
completed | March 5, 2026, 8:32 a.m. |
| PD | Predicate disambiguation | batch_69a907c35f848190a2428c52e81d013e |
completed | March 5, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69a93fa5aa04819084d1154ef900303f |
completed | March 5, 2026, 8:32 a.m. |
Created at: March 4, 2026, 7:28 p.m.