Triple
T806030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trump family |
E17434
|
entity |
| Predicate | notableEventInHistory |
P2107
|
FINISHED |
| Object | election of Donald J. Trump as 45th president of the United States |
—
|
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: election of Donald J. Trump as 45th president of the United States | Statement: [Trump family, notableEventInHistory, election of Donald J. Trump as 45th president of the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableEventInHistory Context triple: [Trump family, notableEventInHistory, election of Donald J. Trump as 45th president of the United States]
-
A.
hasHistoricalEvent
chosen
Indicates that a historical event occurred in, is associated with, or is relevant to a particular entity.
-
B.
notableEventDate
Indicates the date on which a notable or significant event associated with the subject occurred.
-
C.
historicEventAlsoKnownAs
Indicates that a historic event is referred to by an alternative name or alias.
-
D.
notableEventCoverage
Indicates that there is media or documented coverage specifically focused on a notable event related to the subject.
-
E.
significantEvent
Indicates that an event involving the entities is of notable importance or impact within a given context.
- 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_69a4937ae8a08190b5084a03d532b30e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4ace495348190aec66f35ea90bc89 |
completed | March 1, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69a4aa70973c8190adbf08302d1103a9 |
completed | March 1, 2026, 9:06 p.m. |
Created at: March 1, 2026, 7:38 p.m.