Triple

T35184747

Position	Surface form	Disambiguated ID	Type / Status
Subject	Our Lady of the Roses	`E1015954`	entity
Predicate	basedOnMessagesReceivedBy	`P199032`	FINISHED
Object	Frances Octavia Smith Frances Octavia Smith, better known as Veronica Lueken, was an American Catholic seer who reported Marian apparitions and prophetic messages that inspired the controversial "Our Lady of the Roses" movement in Bayside, New York.	`E2145483`	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: Frances Octavia Smith | Statement: [Our Lady of the Roses, basedOnMessagesReceivedBy, Frances Octavia Smith]

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: Frances Octavia Smith
Triple: [Our Lady of the Roses, basedOnMessagesReceivedBy, Frances Octavia Smith]

Generated description

Frances Octavia Smith, better known as Veronica Lueken, was an American Catholic seer who reported Marian apparitions and prophetic messages that inspired the controversial "Our Lady of the Roses" movement in Bayside, New York.

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

Target predicate: basedOnMessagesReceivedBy
Context triple: [Our Lady of the Roses, basedOnMessagesReceivedBy, Frances Octavia Smith]

A. basedOnChannel
Indicates that something is determined, derived, or decided according to a particular channel as its basis or reference.
B. basedOnBy
Indicates that one entity is derived from, justified by, or constructed using another entity as its source, foundation, or reference.
C. basedOnStrategyOf
Indicates that one entity’s strategy is derived from, influenced by, or constructed using the strategy of another entity.
D. basedOnSubject
Indicates that something is derived from, influenced by, or determined according to a particular subject.
E. basedOnProcess
Indicates that something is derived from, determined by, or dependent on a particular process or sequence of actions.
F. None of above. chosen

Provenance (7 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_69f76ddd815c8190b822eea06630f9fb`	completed	May 3, 2026, 3:46 p.m.
NER	Named-entity recognition	`batch_69ff1ba8694481909ceb36f26ca85612`	completed	May 9, 2026, 11:34 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a3852d337d08190ab09608f19d7ade3`	completed	June 21, 2026, 9:08 p.m.
NEDg	Description generation	`batch_6a38545a48a881909970b888d152b021`	completed	June 21, 2026, 9:15 p.m.
NED2	Entity disambiguation (via description)	`batch_6a3854ee0cc08190a542392edeedb715`	completed	June 21, 2026, 9:17 p.m.
PD	Predicate disambiguation	`batch_69ff1b27f0f08190a9e74308c5b3d1ba`	completed	May 9, 2026, 11:31 a.m.
PDg	Predicate description generation	`batch_69ff1ba7494481908678a7a0f93dbd03`	completed	May 9, 2026, 11:33 a.m.

Created at: May 3, 2026, 4:02 p.m.