Triple
T36517913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rand Paul presidential campaign, 2016 |
E900096
|
entity |
| Predicate | positionOnCriminalJustice |
P4173
|
FINISHED |
| Object | supported sentencing reform |
—
|
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: supported sentencing reform | Statement: [Rand Paul presidential campaign, 2016, positionOnCriminalJustice, supported sentencing reform]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionOnCriminalJustice Context triple: [Rand Paul presidential campaign, 2016, positionOnCriminalJustice, supported sentencing reform]
-
A.
positionOnCrime
chosen
Indicates a stance, opinion, or policy position that an entity holds regarding crime or crime-related issues.
-
B.
positionOnConviction
Indicates a stance or viewpoint that an entity holds regarding a specific conviction, belief, or firmly held position.
-
C.
positionOnLaw
Indicates a stance, opinion, or interpretation that an entity holds regarding a specific law or legal provision.
-
D.
positionOnPrisons
Indicates a stance, opinion, or policy position that an entity holds regarding the use, role, or operation of prisons.
-
E.
positionOnRights
Indicates a stance, opinion, or policy an entity holds regarding rights (such as legal, human, or civil rights).
- 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_69ffaa7bc45c8190b907db8579244a7b |
completed | May 9, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69ffa9f6c9a481908fbd4d18b311cbe2 |
completed | May 9, 2026, 9:41 p.m. |
Created at: May 3, 2026, 4:11 p.m.