Triple

T34189447
Position Surface form Disambiguated ID Type / Status
Subject Henry Scudder E877057 entity
Predicate notableWork P4 FINISHED
Object The Christian's Daily Walk
The Christian's Daily Walk is a classic 17th-century Puritan devotional work offering practical guidance for living a consistent, godly Christian life.
E2085230 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: The Christian's Daily Walk | Statement: [Henry Scudder, notableWork, The Christian's Daily Walk]
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: The Christian's Daily Walk
Triple: [Henry Scudder, notableWork, The Christian's Daily Walk]
Generated description
The Christian's Daily Walk is a classic 17th-century Puritan devotional work offering practical guidance for living a consistent, godly Christian life.

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_69f349af20a4819089ac24d28f2d8112 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f710234e208190a12b25cb7dd9da8d completed May 3, 2026, 9:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a36cc802938819091ed4e5a896af766 completed June 20, 2026, 5:23 p.m.
NEDg Description generation batch_6a36cd459d308190b392db0c0f0a6a0a completed June 20, 2026, 5:26 p.m.
NED2 Entity disambiguation (via description) batch_6a36cdcfa9048190a616290bd685e0d3 completed June 20, 2026, 5:28 p.m.
Created at: May 1, 2026, 1:55 a.m.