Triple
T34542947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aaron Swartz’s 2011–2013 JSTOR case |
E886849
|
entity |
| Predicate | maximumPotentialPenalty |
P131772
|
FINISHED |
| Object | 35 years imprisonment |
—
|
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: 35 years imprisonment | Statement: [Aaron Swartz’s 2011–2013 JSTOR case, maximumPotentialPenalty, 35 years imprisonment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumPotentialPenalty Context triple: [Aaron Swartz’s 2011–2013 JSTOR case, maximumPotentialPenalty, 35 years imprisonment]
-
A.
maximumPenaltySection1
Indicates the legal provision that specifies the highest penalty allowed under section 1 of a statute or regulation.
-
B.
penaltyMagnitude
Indicates the size or severity of a penalty imposed in a given situation or relationship.
-
C.
maximumPenaltyForOrganisations
Indicates the highest level of penalty that can be imposed on organisations under a given rule or legal framework.
-
D.
maximumPenaltyForIndividuals
chosen
Indicates the highest allowable penalty that can be imposed on individual persons under a given rule, law, or policy.
-
E.
defaultPenalty
Indicates that a standard or automatically applied penalty is imposed in the absence of a specific or overridden penalty.
- 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_69f349ce5eb881909e431c670944aa68 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd0d0ba5c48190bddb3f0e6637544c |
completed | May 7, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69fd0c4324a8819086c90adf46216e0e |
completed | May 7, 2026, 10:03 p.m. |
Created at: May 1, 2026, 2:02 a.m.