Triple

T33918655
Position Surface form Disambiguated ID Type / Status
Subject Sigma Gamma Rho E869539 entity
Predicate founder P104 FINISHED
Object Dorothy Hanley Whiteside
Dorothy Hanley Whiteside was one of the seven educators who co-founded Sigma Gamma Rho Sorority, Inc., a historically Black Greek-letter organization established in 1922 at Butler University.
E2136113 NE 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: Dorothy Hanley Whiteside | Statement: [Sigma Gamma Rho, founder, Dorothy Hanley Whiteside]
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: Dorothy Hanley Whiteside
Triple: [Sigma Gamma Rho, founder, Dorothy Hanley Whiteside]
Generated description
Dorothy Hanley Whiteside was one of the seven educators who co-founded Sigma Gamma Rho Sorority, Inc., a historically Black Greek-letter organization established in 1922 at Butler University.

Provenance (5 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_69f349992c508190aa4afa24a086cc8c completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f701b780cc8190874f775cf51ea906 completed May 3, 2026, 8:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3823a357dc8190b7f03788e6fc1116 completed June 21, 2026, 5:47 p.m.
NEDg Description generation batch_6a382467c4dc8190825a1698150af8f0 completed June 21, 2026, 5:50 p.m.
NED2 Entity disambiguation (via description) batch_6a3825338a88819090c8dfafb2dc5e42 completed June 21, 2026, 5:53 p.m.
Created at: May 1, 2026, 1:49 a.m.