Triple
T57447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Senate Judiciary Committee |
E1135
|
entity |
| Predicate | canRecommend |
P2811
|
FINISHED |
| Object | confirmation or rejection of judicial nominees |
—
|
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: confirmation or rejection of judicial nominees | Statement: [Senate Judiciary Committee, canRecommend, confirmation or rejection of judicial nominees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canRecommend Context triple: [Senate Judiciary Committee, canRecommend, confirmation or rejection of judicial nominees]
-
A.
canRefer
Indicates that one entity has the ability or permission to mention, point to, or direct attention to another entity.
-
B.
availableAs
Indicates that one entity can be used, accessed, or offered in the form, role, or capacity of another entity.
-
C.
isAbout
Indicates that one entity has as its subject, focus, or primary concern the content, topic, or theme represented by another entity.
-
D.
meets
Indicates that two or more entities come together at the same place and time, typically for interaction or a shared purpose.
-
E.
isPopularWith
Indicates that one entity is well-liked, favored, or widely accepted by another entity or group.
- 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_69a248adc5b48190aa8db9fb092fb28a |
completed | Feb. 28, 2026, 1:45 a.m. |
| NER | Named-entity recognition | batch_69a24b915c9881908c798f4dacb39f1d |
completed | Feb. 28, 2026, 1:57 a.m. |
| PD | Predicate disambiguation | batch_69a24ac6799c8190b508933acc0a4c7d |
completed | Feb. 28, 2026, 1:54 a.m. |
| PDg | Predicate description generation | batch_69a24b90ab24819085478dbe95f717dd |
completed | Feb. 28, 2026, 1:57 a.m. |
Created at: Feb. 28, 2026, 1:50 a.m.