Triple
T5005502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madison Cawthorn |
E112479
|
entity |
| Predicate | lostReelection |
P41562
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Madison Cawthorn, lostReelection, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lostReelection Context triple: [Madison Cawthorn, lostReelection, true]
-
A.
lostQuorumOn
Indicates that an entity previously part of a decision-making group no longer has enough participating members to meet the required quorum as of a specific time or event.
-
B.
reElectionOf
Indicates that an entity is being elected again to a position or office they have previously held.
-
C.
losesElectionFor
chosen
Indicates that one candidate is defeated by another candidate in a specific election for a particular office or position.
-
D.
providedForElectionOf
Indicates that one entity supplied resources, support, or services specifically to facilitate or influence the election of another entity.
-
E.
predecessorElection
Indicates that one election immediately preceded another in a temporal or sequential order.
- 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_69bd4433d0b08190877e83959ef40d81 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd730a7590819088ab8d49c5c88c2f |
completed | March 20, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69bd714cbc448190aa53a8a83d768b64 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:35 p.m.