Triple

T26501761
Position Surface form Disambiguated ID Type / Status
Subject Saint André Bessette E669440 entity
Predicate miracleClaims P116990 FINISHED
Object Healings attributed to his intercession LITERAL 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: Healings attributed to his intercession | Statement: [Saint André Bessette, miracleClaims, Healings attributed to his intercession]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: miracleClaims
Context triple: [Saint André Bessette, miracleClaims, Healings attributed to his intercession]
  • A. miracleClaim chosen
    Indicates that an entity asserts or reports that a miraculous or supernatural event has occurred.
  • B. modalClaim
    Indicates that the statement is being made with a modal qualification, such as possibility, necessity, or obligation, rather than as an unqualified factual claim.
  • C. mainClaim
    Indicates that one statement is presented as the central or primary assertion being made about a topic.
  • D. miracleOccurs
    Indicates that an event takes place which is perceived as extraordinary, inexplicable by natural or scientific laws, and often attributed to a supernatural or divine cause.
  • E. miracleType
    Indicates the specific category or kind of miracle associated with an event or entity.
  • F. None of above.

Provenance (3 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_69eeb319ec70819090834c2591cf5f1e completed April 27, 2026, 12:51 a.m.
NER Named-entity recognition batch_69f6135b47248190a67aa93a1e6b936c completed May 2, 2026, 3:08 p.m.
PD Predicate disambiguation batch_69f602d5c8808190a1fdbebd6f0981e8 completed May 2, 2026, 1:57 p.m.
Created at: April 27, 2026, 1:13 a.m.