Triple

T28680091
Position Surface form Disambiguated ID Type / Status
Subject Molinism E725983 entity
Predicate contrastsWith P278 FINISHED
Object Open Theism
Open Theism is a theological view within Christianity that holds God’s knowledge of the future is dynamic and partly open, because future free choices are not yet fully determined.
E1829242 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: Open Theism | Statement: [Molinism, contrastsWith, Open Theism]
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: Open Theism
Triple: [Molinism, contrastsWith, Open Theism]
Generated description
Open Theism is a theological view within Christianity that holds God’s knowledge of the future is dynamic and partly open, because future free choices are not yet fully determined.

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_69f01d867608819086bc3e6b4f9de866 completed April 28, 2026, 2:37 a.m.
NER Named-entity recognition batch_69f656383bb48190bf4218486f32aa42 completed May 2, 2026, 7:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1cc3aa159c81908f1ea83573a6eafe completed May 31, 2026, 11:26 p.m.
NEDg Description generation batch_6a1cc42a1b08819092125b1f3d09f2ca completed May 31, 2026, 11:28 p.m.
NED2 Entity disambiguation (via description) batch_6a1cc4e253288190bb4e761d17423cbf completed May 31, 2026, 11:31 p.m.
Created at: April 28, 2026, 5:08 a.m.