Triple

T26970741
Position Surface form Disambiguated ID Type / Status
Subject Elizabeth Wayles E679310 entity
Predicate familyName P18 FINISHED
Object Wayles
Wayles is a surname most notably associated with the colonial Virginia Wayles family, including Elizabeth Wayles and her daughter Martha Wayles Skelton Jefferson, the wife of U.S. President Thomas Jefferson.
E1749595 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: Wayles | Statement: [Elizabeth Wayles, familyName, Wayles]
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: Wayles
Triple: [Elizabeth Wayles, familyName, Wayles]
Generated description
Wayles is a surname most notably associated with the colonial Virginia Wayles family, including Elizabeth Wayles and her daughter Martha Wayles Skelton Jefferson, the wife of U.S. President Thomas Jefferson.

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_69eeeb4f3a448190b1e94b2d4776c16e completed April 27, 2026, 4:51 a.m.
NER Named-entity recognition batch_69f62124ff1081908d66c2ff35ba5e89 completed May 2, 2026, 4:07 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1229a773d481909d3cec96e3020fc0 completed May 23, 2026, 10:26 p.m.
NEDg Description generation batch_6a122a0749a481908d0fc424ca1f8570 completed May 23, 2026, 10:28 p.m.
NED2 Entity disambiguation (via description) batch_6a122ac1713481909a80761bb471ef49 completed May 23, 2026, 10:31 p.m.
Created at: April 27, 2026, 6:39 a.m.