Triple

T32862038
Position Surface form Disambiguated ID Type / Status
Subject Marion Peckham Egan School of Nursing and Health Studies E840541 entity
Predicate namedAfter P63 FINISHED
Object Marion Peckham Egan
Marion Peckham Egan was a notable figure in nursing and health education whose contributions were significant enough that Fairfield University named its School of Nursing and Health Studies in her honor.
E2040894 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: Marion Peckham Egan | Statement: [Marion Peckham Egan School of Nursing and Health Studies, namedAfter, Marion Peckham Egan]
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: Marion Peckham Egan
Triple: [Marion Peckham Egan School of Nursing and Health Studies, namedAfter, Marion Peckham Egan]
Generated description
Marion Peckham Egan was a notable figure in nursing and health education whose contributions were significant enough that Fairfield University named its School of Nursing and Health Studies in her honor.

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_69f34942465c819099b3fb47f9044f58 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6ceb729fc81908ef924d90de729f1 completed May 3, 2026, 4:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a352f9d8bc081908e52a6f7f897ffe6 completed June 19, 2026, 12:01 p.m.
NEDg Description generation batch_6a35301e7d208190a2d6880620e31a4b completed June 19, 2026, 12:03 p.m.
NED2 Entity disambiguation (via description) batch_6a3531388aa881909ee7f2239223f5f9 completed June 19, 2026, 12:08 p.m.
Created at: May 1, 2026, 1:17 a.m.