Triple
T27842159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Badnarik |
E703711
|
entity |
| Predicate | yearOfCandidacy |
P78375
|
FINISHED |
| Object | 2004 |
—
|
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: 2004 | Statement: [Michael Badnarik, yearOfCandidacy, 2004]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfCandidacy Context triple: [Michael Badnarik, yearOfCandidacy, 2004]
-
A.
candidacyYear
chosen
Indicates the specific year in which an entity is a candidate for a position, office, award, or similar selection process.
-
B.
doctoralDegreeYear
Indicates the calendar year in which an entity received or completed their doctoral degree.
-
C.
matriculationYear
Indicates the calendar year in which an individual formally enrolled or was admitted into an educational program or institution.
-
D.
yearOfCommencement
Indicates the specific year in which an activity, event, project, or entity officially began or was initiated.
-
E.
yearTaken
Indicates the specific calendar year in which an action, event, or record associated with the subject was carried out or occurred.
- 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_69ef840d9e3c819093615ebff4ec22be |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f739a638748190808e7a2930dce16e |
completed | May 3, 2026, 12:03 p.m. |
| PD | Predicate disambiguation | batch_69f732f2dc6c8190a4e86da98cc5eb05 |
completed | May 3, 2026, 11:35 a.m. |
Created at: April 27, 2026, 6:04 p.m.