Triple
T37506218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States House Select Committee on the January 6 Attack |
E932097
|
entity |
| Predicate | recommendedReforms |
P105600
|
FINISHED |
| Object | Electoral Count Act 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: Electoral Count Act reform | Statement: [United States House Select Committee on the January 6 Attack, recommendedReforms, Electoral Count Act reform]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recommendedReforms Context triple: [United States House Select Committee on the January 6 Attack, recommendedReforms, Electoral Count Act reform]
-
A.
relatedReforms
Indicates that one reform is connected or associated with another reform, typically through shared goals, content, or impact.
-
B.
reformsBy
Indicates that one entity initiates, implements, or is responsible for changes or improvements (reforms) affecting another entity.
-
C.
associatedReforms
chosen
Indicates a relationship where certain reforms are linked or connected to a given entity, such as a policy, event, or individual.
-
D.
typeOfReforms
Indicates the specific kinds or categories of reforms associated with an entity or situation.
-
E.
implementedReformsIn
Indicates that an entity (typically a person, organization, or government) carried out or put into effect specific reforms within a particular context, domain, or location.
- 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_69f76ec5268481909ea01c73aeeefd42 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbacaf54648190811ea33b34907e8e |
completed | May 6, 2026, 9:03 p.m. |
| PD | Predicate disambiguation | batch_69fba883f770819091059c6f6c6af9f7 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:17 p.m.