Triple
T28967426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeff Van Drew |
E732077
|
entity |
| Predicate | switchedPartyFrom |
P38460
|
FINISHED |
| Object | Democratic Party (United States) |
—
|
NE NERFINISHED |
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: Democratic Party (United States) | Statement: [Jeff Van Drew, switchedPartyFrom, Democratic Party (United States)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: switchedPartyFrom Context triple: [Jeff Van Drew, switchedPartyFrom, Democratic Party (United States)]
-
A.
partySwitch
chosen
Indicates that an entity changes its affiliation from one political party to another.
-
B.
resultedInPartyChange
Indicates that one event or action caused a change in the political party affiliation of an entity.
-
C.
replacedParty
Indicates that one entity has been substituted for or taken the place of another entity in a given role, position, or context.
-
D.
switchedSidesIn
Indicates that an entity changed allegiance or affiliation from one side to another within a specified conflict, group, or context.
-
E.
switchesPlacesWith
Indicates that two entities exchange their respective positions or roles with each other.
- 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_69f65c2dca28819092e3a5f8e4876113 |
completed | May 2, 2026, 8:18 p.m. |
| PD | Predicate disambiguation | batch_69f659d02f1c8190831758ac52bb54e4 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 8:52 a.m.