Triple

T27057523
Position Surface form Disambiguated ID Type / Status
Subject Eppes family E684937 entity
Predicate hasNotableMember P304 FINISHED
Object Richard Eppes
Richard Eppes was a 19th-century Virginia planter and physician best known for his extensive plantation records that provide detailed insight into antebellum Southern life and slavery.
 E1758961 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: Richard Eppes | Statement: [Eppes family, hasNotableMember, Richard Eppes]
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: Richard Eppes
Triple: [Eppes family, hasNotableMember, Richard Eppes]
Generated description
Richard Eppes was a 19th-century Virginia planter and physician best known for his extensive plantation records that provide detailed insight into antebellum Southern life and slavery.

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_69ef14829fac8190914bef9ecc3005d7 completed April 27, 2026, 7:47 a.m.
NER Named-entity recognition batch_69f622e16d388190842e202826e8c22a completed May 2, 2026, 4:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1247f9eb5881908278ff3bc201f5ea completed May 24, 2026, 12:36 a.m.
NEDg Description generation batch_6a124bf692708190b52de3df629cb45c completed May 24, 2026, 12:53 a.m.
NED2 Entity disambiguation (via description) batch_6a124c6c11f081908fc85103770dcf9c completed May 24, 2026, 12:55 a.m.
Created at: April 27, 2026, 8:19 a.m.