Triple

T36773290
Position Surface form Disambiguated ID Type / Status
Subject Charles Grandison Finney E908536 entity
Predicate spouse P13 FINISHED
Object Lydia Root Andrews Finney
Lydia Root Andrews Finney was the wife of revivalist preacher Charles Grandison Finney and an active supporter of his evangelical and reform work in 19th-century America.
E2199995 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: Lydia Root Andrews Finney | Statement: [Charles Grandison Finney, spouse, Lydia Root Andrews Finney]
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: Lydia Root Andrews Finney
Triple: [Charles Grandison Finney, spouse, Lydia Root Andrews Finney]
Generated description
Lydia Root Andrews Finney was the wife of revivalist preacher Charles Grandison Finney and an active supporter of his evangelical and reform work in 19th-century America.

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_69f76e798aa08190ace31098d1b13e9f completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7c9bbc5e8819097ffde226da195bd completed May 3, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3d1799ca448190a80be7cf957148e7 completed June 25, 2026, 11:57 a.m.
NEDg Description generation batch_6a3d23b400688190be192fa1b31c5209 completed June 25, 2026, 12:48 p.m.
NED2 Entity disambiguation (via description) batch_6a3dd1ab578c81909fe1f74d43c83ce6 completed June 26, 2026, 1:11 a.m.
Created at: May 3, 2026, 4:12 p.m.