Triple
T8974565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeanne Shaheen 2008 U.S. Senate campaign |
E214353
|
entity |
| Predicate | statusOfCandidateBeforeCampaign |
P63481
|
FINISHED |
| Object | out of elected office |
—
|
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: out of elected office | Statement: [Jeanne Shaheen 2008 U.S. Senate campaign, statusOfCandidateBeforeCampaign, out of elected office]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusOfCandidateBeforeCampaign Context triple: [Jeanne Shaheen 2008 U.S. Senate campaign, statusOfCandidateBeforeCampaign, out of elected office]
-
A.
incumbentBeforeElection
Indicates that the subject was already holding the relevant office or position prior to the specified election.
-
B.
politicalStatusBefore
chosen
Indicates the political status or condition an entity held prior to a specified event, change, or reference point.
-
C.
candidateBackground
Indicates that there is information or context describing a candidate’s prior experience, qualifications, or history.
-
D.
mainOppositionBeforeElection
Indicates that one political entity serves as the primary opposing force to another in the period leading up to an election.
-
E.
wasCandidateIn
Indicates that an entity served as a candidate in a particular election, contest, or selection process.
- 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_69ca839dbf608190a2f5990477115d29 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6783abe48190840e652fc2acf28f |
completed | April 1, 2026, 12:32 a.m. |
| PD | Predicate disambiguation | batch_69cc5ed9a2d48190ad11381078e823b7 |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:02 p.m.