Triple

T28838478
Position Surface form Disambiguated ID Type / Status
Subject The Doctrine of the Atonement E728249 entity
Predicate hasMainTopic P494 FINISHED
Object atonement
Atonement is the theological concept describing how estranged humans are reconciled to God, often through the sacrificial death and resurrection of Jesus Christ in Christian belief.
E1836208 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: atonement | Statement: [The Doctrine of the Atonement, hasMainTopic, atonement]
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: atonement
Triple: [The Doctrine of the Atonement, hasMainTopic, atonement]
Generated description
Atonement is the theological concept describing how estranged humans are reconciled to God, often through the sacrificial death and resurrection of Jesus Christ in Christian belief.

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_69f0319e8e7c8190b37288c8845b9dbc completed April 28, 2026, 4:03 a.m.
NER Named-entity recognition batch_69f6596fae5c81908eb8abb59acf3471 completed May 2, 2026, 8:07 p.m.
NED1 Entity disambiguation (via context triple) batch_6a24bbb33b048190a7af0e20b0350094 completed June 7, 2026, 12:30 a.m.
NEDg Description generation batch_6a24c12a5b548190aa6228a4fe0d200f completed June 7, 2026, 12:54 a.m.
NED2 Entity disambiguation (via description) batch_6a24c55ba59c81908fcfff015a36e2c0 completed June 7, 2026, 1:11 a.m.
Created at: April 28, 2026, 6:40 a.m.