Triple

T32763101
Position Surface form Disambiguated ID Type / Status
Subject Fielding Lewis E837810 entity
Predicate relative P37 FINISHED
Object Lawrence Lewis
Lawrence Lewis was an American planter and prominent member of the extended Washington family, best known as the nephew of George Washington and husband of his step-granddaughter Eleanor Parke Custis.
E2022287 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: Lawrence Lewis | Statement: [Fielding Lewis, relative, Lawrence Lewis]
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: Lawrence Lewis
Triple: [Fielding Lewis, relative, Lawrence Lewis]
Generated description
Lawrence Lewis was an American planter and prominent member of the extended Washington family, best known as the nephew of George Washington and husband of his step-granddaughter Eleanor Parke Custis.

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_69f34939857c8190aa9970c51feec1eb completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6cce5e7208190b96ed1379a041d52 completed May 3, 2026, 4:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34a7c3bbac8190a7aebc5e36b8b780 completed June 19, 2026, 2:21 a.m.
NEDg Description generation batch_6a34a899c6ec8190b5d6447c9b812628 completed June 19, 2026, 2:25 a.m.
NED2 Entity disambiguation (via description) batch_6a34a961916481908b7f7d50027f8d4f completed June 19, 2026, 2:28 a.m.
Created at: May 1, 2026, 1:13 a.m.