Triple

T33439549
Position Surface form Disambiguated ID Type / Status
Subject Marian apparitions of 1877 E856322 entity
Predicate hasVisionary P192512 FINISHED
Object Justyna Szafryńska NE NERFINISHED

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: Justyna Szafryńska | Statement: [Marian apparitions of 1877, hasVisionary, Justyna Szafryńska]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasVisionary
Context triple: [Marian apparitions of 1877, hasVisionary, Justyna Szafryńska]
  • A. hasVisionOf
    Indicates that one entity perceives, imagines, or foresees another entity or scenario, typically in a mental, prophetic, or visualized form.
  • B. hasMainVisionary
    Indicates that one entity serves as the primary creative or strategic visionary responsible for guiding or shaping another entity.
  • C. containsVisionOf
    Indicates that one entity includes, depicts, or embodies a visual representation or image of another entity.
  • D. visionary
    Indicates that an entity is recognized for having original, forward-thinking ideas or plans that anticipate future developments.
  • E. visionaryOf
    Indicates that one entity is the original conceiver or driving visionary behind the creation, direction, or concept of another entity.
  • F. None of above. chosen

Provenance (4 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_69f34971b75881908be360bb041f003c completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69fd0d0ba5c48190bddb3f0e6637544c completed May 7, 2026, 10:07 p.m.
PD Predicate disambiguation batch_69fd0c4324a8819086c90adf46216e0e completed May 7, 2026, 10:03 p.m.
PDg Predicate description generation batch_69fd0d0aebac8190868a7714ddb4f1fd completed May 7, 2026, 10:07 p.m.
Created at: May 1, 2026, 1:37 a.m.