Triple

T4986302
Position Surface form Disambiguated ID Type / Status
Subject Sisters of the Holy Names of Jesus and Mary E112010 entity
Predicate spiritualityInfluence P49306 FINISHED
Object Marian devotion 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: Marian devotion | Statement: [Sisters of the Holy Names of Jesus and Mary, spiritualityInfluence, Marian devotion]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: spiritualityInfluence
Context triple: [Sisters of the Holy Names of Jesus and Mary, spiritualityInfluence, Marian devotion]
  • A. spiritualityType chosen
    Indicates the specific kind or category of spirituality associated with an entity.
  • B. influencedReligion
    Indicates that one entity has had a shaping or modifying effect on the religious beliefs, practices, or traditions of another entity.
  • C. influencedByReligion
    Indicates that an entity’s characteristics, decisions, or development are shaped or affected by religious beliefs, practices, or institutions.
  • D. spiritualQuest
    Indicates a process in which an entity actively seeks deeper spiritual understanding, growth, or enlightenment.
  • E. inTheSpiritOf
    Indicates that one entity acts, is created, or is characterized in a manner that follows the style, principles, or intent exemplified by another 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_69bd441be7bc8190b530362d427b97d2 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd74249a8c8190952680aee06a9286 completed March 20, 2026, 4:21 p.m.
PD Predicate disambiguation batch_69bd71492dec8190af4c27a3043b35cc completed March 20, 2026, 4:09 p.m.
Created at: March 20, 2026, 1:33 p.m.