Triple
T33169326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ralph R. Beistline |
E848983
|
entity |
| Predicate | appointedAsFederalJudgeIn |
P191912
|
FINISHED |
| Object | 2002 |
—
|
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: 2002 | Statement: [Ralph R. Beistline, appointedAsFederalJudgeIn, 2002]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appointedAsFederalJudgeIn Context triple: [Ralph R. Beistline, appointedAsFederalJudgeIn, 2002]
-
A.
confirmedAsFederalJudgeOn
Indicates that an individual was officially approved and appointed to serve as a federal judge on a specific date or through a specific confirming action.
-
B.
appointedAsHighCourtJudge
Indicates that an entity has been formally selected and installed in the role of a High Court judge.
-
C.
appointedAsSupremeCourtJudgeBy
Indicates that one entity formally selected and installed another entity into the position of Supreme Court judge.
-
D.
appointedAsJusticeDuring
Indicates that an individual was appointed to serve as a justice during a specified time period or under a particular administration.
-
E.
appointedAsJusticeOfSupremeCourt
Indicates that an entity has been formally selected and installed to serve as a justice on the Supreme Court.
- F. None of above. chosen
Provenance (4 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_69f3495be8808190bbf427733df08aad |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fcef654d588190b29ecc76678d1aa0 |
completed | May 7, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69fcecdb97f48190b382b7d13be92dc0 |
completed | May 7, 2026, 7:49 p.m. |
| PDg | Predicate description generation | batch_69fcef636dfc819085cf91323f2e4edd |
completed | May 7, 2026, 8 p.m. |
Created at: May 1, 2026, 1:28 a.m.