Triple

T28577022

Position	Surface form	Disambiguated ID	Type / Status
Subject	United States Senate Republican Conference	`E723270`	entity
Predicate	currentViceChair	`P16596`	FINISHED
Object	Shelley Moore Capito Shelley Moore Capito is a Republican U.S. Senator from West Virginia known for her work on infrastructure, broadband expansion, and bipartisan legislation.	`E1825411`	NE FINISHED

How this triple was built (3 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: Shelley Moore Capito | Statement: [United States Senate Republican Conference, currentViceChair, Shelley Moore Capito]

NEDg Description generation gpt-5.1

Instruction

Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"

Input

Entity: Shelley Moore Capito
Triple: [United States Senate Republican Conference, currentViceChair, Shelley Moore Capito]

Generated description

Shelley Moore Capito is a Republican U.S. Senator from West Virginia known for her work on infrastructure, broadband expansion, and bipartisan legislation.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: currentViceChair
Context triple: [United States Senate Republican Conference, currentViceChair, Shelley Moore Capito]

A. hasViceChair chosen
Indicates that an entity holds the role or position of vice chair in relation to another entity (such as an organization, committee, or group).
B. lastDeputyChairperson
Indicates that one entity served as the most recent deputy chairperson of another entity or organization.
C. currentChairStartDate
Indicates the date on which the person’s current term as chair officially began.
D. hasFormerViceChairperson
Indicates that an entity previously held the role of vice chairperson of another entity.
E. hasViceChairTitle
Indicates that an entity holds the position or bears the formal title of vice chair in relation to another entity or organization.
F. None of above.

Provenance (6 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_69f01d7e97708190ae9e77ee66a68abd`	completed	April 28, 2026, 2:37 a.m.
NER	Named-entity recognition	`batch_69fd0b92f42881908cd77e3f058adcc2`	completed	May 7, 2026, 10 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a1cb6eff2e88190ae822e9c03377779`	completed	May 31, 2026, 10:32 p.m.
NEDg	Description generation	`batch_6a1cba824efc819080e74d94c5cc364e`	completed	May 31, 2026, 10:47 p.m.
NED2	Entity disambiguation (via description)	`batch_6a1cbb3136f48190a03ed9dda2b55bbc`	completed	May 31, 2026, 10:50 p.m.
PD	Predicate disambiguation	`batch_69fd0a3d68d4819094d92040f7c48d7c`	completed	May 7, 2026, 9:55 p.m.

Created at: April 28, 2026, 4:13 a.m.