Triple

T25869494
Position Surface form Disambiguated ID Type / Status
Subject Arcana Coelestia E651712 entity
Predicate translatedTitle P6688 FINISHED
Object Heavenly Secrets
Heavenly Secrets is the English title of Emanuel Swedenborg’s extensive theological work *Arcana Coelestia*, which offers a spiritual and allegorical interpretation of the books of Genesis and Exodus.
E1697261 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: Heavenly Secrets | Statement: [Arcana Coelestia, translatedTitle, Heavenly Secrets]
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: Heavenly Secrets
Triple: [Arcana Coelestia, translatedTitle, Heavenly Secrets]
Generated description
Heavenly Secrets is the English title of Emanuel Swedenborg’s extensive theological work *Arcana Coelestia*, which offers a spiritual and allegorical interpretation of the books of Genesis and Exodus.

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_69e7ab3a199c81909227cb964cacfe24 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f602db41d08190b3c1b0b7d904b4bc completed May 2, 2026, 1:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10da45a6388190b60196b83a9ac649 completed May 22, 2026, 10:35 p.m.
NEDg Description generation batch_6a10dd8a06b881909f8a9ca5d7d77576 completed May 22, 2026, 10:49 p.m.
NED2 Entity disambiguation (via description) batch_6a10de47e1f0819082aae48923ded2c1 completed May 22, 2026, 10:52 p.m.
Created at: April 22, 2026, 8:08 a.m.