Triple
T36517900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rand Paul presidential campaign, 2016 |
E900096
|
entity |
| Predicate | candidatePositionAtTime |
P184597
|
FINISHED |
| Object | United States Senator from Kentucky |
—
|
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: United States Senator from Kentucky | Statement: [Rand Paul presidential campaign, 2016, candidatePositionAtTime, United States Senator from Kentucky]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: candidatePositionAtTime Context triple: [Rand Paul presidential campaign, 2016, candidatePositionAtTime, United States Senator from Kentucky]
-
A.
authorPositionAtTime
chosen
Indicates the specific role or position an author holds at a given point in time within a particular context or organization.
-
B.
locatedAtTime
Indicates that a location relationship holds during a specific time or time interval.
-
C.
positionStartTime
Indicates the time at which a position, role, or placement begins.
-
D.
positionAt
Indicates that one entity is located at, or occupies, a specific spatial position relative to another entity or reference frame.
-
E.
endTimePosition
Indicates the temporal position or point in time at which an event, state, or interval comes to an end.
- 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_69f76e5dada881909da2d34bc7a9202a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b91fd88190ab85afd626603769 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:11 p.m.