Triple

T26270863
Position Surface form Disambiguated ID Type / Status
Subject John Porter East E660415 entity
Predicate spouse P13 FINISHED
Object Priscilla Sherk East
Priscilla Sherk East is best known as the wife of the late U.S. Senator John Porter East.
 E1717600 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: Priscilla Sherk East | Statement: [John Porter East, spouse, Priscilla Sherk East]
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: Priscilla Sherk East
Triple: [John Porter East, spouse, Priscilla Sherk East]
Generated description
Priscilla Sherk East is best known as the wife of the late U.S. Senator John Porter East.

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_69ee812960d081909cff6085cc9fa3a6 completed April 26, 2026, 9:18 p.m.
NER Named-entity recognition batch_69f60e306f2c8190a58054cd33bb78fb completed May 2, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a118fb4707c81909810d08922c242f8 completed May 23, 2026, 11:29 a.m.
NEDg Description generation batch_6a1190713f4c819082a89700881a3c46 completed May 23, 2026, 11:33 a.m.
NED2 Entity disambiguation (via description) batch_6a119145a7008190b6b01851f1ee63ad completed May 23, 2026, 11:36 a.m.
Created at: April 26, 2026, 9:49 p.m.