Triple
T35822199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jo Jorgensen |
E1035533
|
entity |
| Predicate | previousCandidacy |
P200191
|
FINISHED |
| Object | 1996 United States presidential election |
—
|
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: 1996 United States presidential election | Statement: [Jo Jorgensen, previousCandidacy, 1996 United States presidential election]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousCandidacy Context triple: [Jo Jorgensen, previousCandidacy, 1996 United States presidential election]
-
A.
candidatePreviousNomination
Indicates that a candidate has been nominated for something in a prior selection, election, or award process.
-
B.
previousMP
Indicates that one entity served as a Member of Parliament for a given constituency or position immediately before another specified entity.
-
C.
incumbentBeforeElection
Indicates that the subject was already holding the relevant office or position prior to the specified election.
-
D.
primaryCandidate
Indicates that an entity is the main or first-choice option among a set of candidates in a given context.
-
E.
previousElectorate
Indicates that one electorate served as the earlier or former electoral district associated with another electorate.
- F. None of above. chosen
Provenance (4 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_69f76e185ffc8190880b3cdf51decd38 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff79e7206c8190a809b5f2a6261378 |
completed | May 9, 2026, 6:16 p.m. |
| PD | Predicate disambiguation | batch_69ff798356b881908645074fb3a96517 |
completed | May 9, 2026, 6:14 p.m. |
| PDg | Predicate description generation | batch_69ff79e645c08190a974b5239efac35b |
completed | May 9, 2026, 6:16 p.m. |
Created at: May 3, 2026, 4:06 p.m.