Triple
T16738750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trump v. Mazars USA, LLP |
E406783
|
entity |
| Predicate | aroseDuring |
P3824
|
FINISHED |
| Object | Donald Trump presidency |
—
|
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: Donald Trump presidency | Statement: [Trump v. Mazars USA, LLP, aroseDuring, Donald Trump presidency]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aroseDuring Context triple: [Trump v. Mazars USA, LLP, aroseDuring, Donald Trump presidency]
-
A.
occurredDuring
chosen
Indicates that one event or action took place within the temporal span of another event or time period.
-
B.
raisedDuring
Indicates that one entity was brought up, nurtured, or developed within the time period or circumstances defined by another entity.
-
C.
raisedAt
Indicates that something was brought up, mentioned, or initiated at a particular time, place, or contextual point.
-
D.
raisedOn
Indicates that an entity was nurtured, brought up, or spent its formative period in a particular place, environment, or context.
-
E.
raisedWhen
Indicates that one event, condition, or signal occurs or is triggered in response to another specific event or situation.
- 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_69d8838ffb088190a0b11149929006bf |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e39c3c808c8190b3300edeb7c7bca9 |
completed | April 18, 2026, 2:59 p.m. |
| PD | Predicate disambiguation | batch_69e319c807788190901250ab6e0ca55f |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:20 a.m.