Triple

T35629685

Position	Surface form	Disambiguated ID	Type / Status
Subject	Unity School of Christianity	`E1029548`	entity
Predicate	hasPrayerMinistry	`P60914`	FINISHED
Object	Silent Unity Silent Unity is a continuous, worldwide prayer ministry that offers spiritual support and affirmative prayer to individuals through the Unity movement.	`E2149282`	NE FINISHED

How this triple was built (3 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: Silent Unity | Statement: [Unity School of Christianity, hasPrayerMinistry, Silent Unity]

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: Silent Unity
Triple: [Unity School of Christianity, hasPrayerMinistry, Silent Unity]

Generated description

Silent Unity is a continuous, worldwide prayer ministry that offers spiritual support and affirmative prayer to individuals through the Unity movement.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: hasPrayerMinistry
Context triple: [Unity School of Christianity, hasPrayerMinistry, Silent Unity]

A. hasPrayerRite
Indicates that one entity is associated with, follows, or practices a particular prayer rite or liturgical form.
B. hasLayMinistry
Indicates that an entity participates in or is associated with a lay (non-ordained) ministry role or service within a religious context.
C. hasDevotionalRole
Indicates that an entity holds or performs a specific role or function within a devotional or religious practice.
D. spiritualMinistry chosen
Indicates that one entity provides religious or spiritual guidance, care, or services to another entity.
E. prayedDuring
Indicates that one entity performed prayer at some time within the duration of another specified event or time interval.
F. None of above.

Provenance (6 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_69f76e07bb0c8190968ea2d836fc42c9`	completed	May 3, 2026, 3:47 p.m.
NER	Named-entity recognition	`batch_6a037c8d06cc8190ab6a5e18d9d2571e`	completed	May 12, 2026, 7:16 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a38684ce02c8190bb6fcf1874dc245d`	completed	June 21, 2026, 10:40 p.m.
NEDg	Description generation	`batch_6a386913196c81908274a2e909d943b8`	completed	June 21, 2026, 10:43 p.m.
NED2	Entity disambiguation (via description)	`batch_6a3869ecb09c8190bffe477099dcc2cf`	completed	June 21, 2026, 10:47 p.m.
PD	Predicate disambiguation	`batch_6a037a04d8348190a4819666eab42c9b`	completed	May 12, 2026, 7:05 p.m.

Created at: May 3, 2026, 4:05 p.m.