Triple
T35101219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nikema Williams |
E1013021
|
entity |
| Predicate | campaigns for |
P25563
|
FINISHED |
| Object | expansion of voting access |
—
|
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: expansion of voting access | Statement: [Nikema Williams, campaigns for, expansion of voting access]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: campaigns for Context triple: [Nikema Williams, campaigns for, expansion of voting access]
-
A.
campaigns
chosen
Indicates that an entity actively conducts or participates in an organized effort or series of actions aimed at achieving a specific goal, often in political, marketing, or advocacy contexts.
-
B.
conductedCampaignsIn
Indicates that an entity organized or carried out campaigns within a specified location or region.
-
C.
campaignsCovered
Indicates that one entity (such as a report, dataset, or analysis) includes or accounts for specific campaigns within its scope or coverage.
-
D.
supportedCampaignOf
Indicates that one entity actively backed, promoted, or provided assistance to the campaign associated with another entity.
-
E.
conductedCampaignsAgainst
Indicates that an entity organized and carried out systematic efforts or operations targeting another entity in opposition or conflict.
- 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_69f76dd556248190808b4c4f43debebb |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78ce78b508190955848e133398dc8 |
completed | May 3, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69f78b8f4cc08190b49fccd798cb25d7 |
completed | May 3, 2026, 5:53 p.m. |
Created at: May 3, 2026, 4:01 p.m.