Triple
T10334269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pinckney Plan |
E242958
|
entity |
| Predicate | proposedJudicialTenure |
P15489
|
FINISHED |
| Object | during good behavior |
—
|
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: during good behavior | Statement: [Pinckney Plan, proposedJudicialTenure, during good behavior]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: proposedJudicialTenure Context triple: [Pinckney Plan, proposedJudicialTenure, during good behavior]
-
A.
hasLifeTenureJudges
chosen
Indicates that the judges associated with an office, position, or institution hold their roles for life, typically remaining in office until they choose to retire, resign, or are removed under exceptional circumstances.
-
B.
proposedJudiciary
Indicates that an entity has formally suggested or put forward another entity to serve in a judicial role or as part of a judicial body.
-
C.
termLengthOfJustices
Indicates the duration of time that justices serve in their official positions.
-
D.
lifeTenure
Indicates that an individual holds a position or office for the duration of their lifetime, without a fixed term limit or routine reappointment.
-
E.
maximumAgeOfJudges
Indicates the highest allowable age that individuals may have in order to serve as judges.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e91fdb2081909866c6ecf417d75a |
completed | April 7, 2026, 11:23 a.m. |
| PD | Predicate disambiguation | batch_69d4df9dc3208190bf1bd106f44f6202 |
completed | April 7, 2026, 10:42 a.m. |
Created at: April 6, 2026, 11:53 a.m.