Triple
T28967429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeff Van Drew |
E732077
|
entity |
| Predicate | reasonForPartySwitch |
P6009
|
FINISHED |
| Object | opposition to the impeachment of Donald 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: opposition to the impeachment of Donald Trump | Statement: [Jeff Van Drew, reasonForPartySwitch, opposition to the impeachment of Donald Trump]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForPartySwitch Context triple: [Jeff Van Drew, reasonForPartySwitch, opposition to the impeachment of Donald Trump]
-
A.
partySwitch
Indicates that an entity changes its affiliation from one political party to another.
-
B.
changeReason
Indicates the reason or justification for a modification or change made to an entity or its state.
-
C.
resultedInPartyChange
Indicates that one event or action caused a change in the political party affiliation of an entity.
-
D.
reasonForChange
chosen
Indicates that one entity serves as the cause, justification, or motivation for a modification or change in another entity or state.
-
E.
causeOfChangeOfDestination
Indicates that one entity is the reason or trigger for another entity changing its intended destination.
- 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_69f043ee242c8190b063248b417c5a69 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f7764ab1fc81909f9348db87bd7692 |
completed | May 3, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69f76905d9c88190b1ee810bc9ab644f |
completed | May 3, 2026, 3:25 p.m. |
Created at: April 28, 2026, 8:52 a.m.