Triple

T36381914
Position Surface form Disambiguated ID Type / Status
Subject Blessed Francis Xavier Seelos E896067 entity
Predicate pastoralApproach P172089 FINISHED
Object gentle and compassionate 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: gentle and compassionate | Statement: [Blessed Francis Xavier Seelos, pastoralApproach, gentle and compassionate]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: pastoralApproach
Context triple: [Blessed Francis Xavier Seelos, pastoralApproach, gentle and compassionate]
  • A. pastoralGoal
    Indicates that an entity has a religious or spiritual care objective directed toward another entity or group.
  • B. hasPastoralCareFocus chosen
    Indicates that the subject is oriented toward providing spiritual, emotional, or pastoral support and guidance to others.
  • C. pastoralPurpose
    Indicates that something is intended or designated for pastoral use, care, or ministry within a religious or spiritual context.
  • D. usesPastoralSetting
    Indicates that the action or work is set in an idealized rural or countryside environment characteristic of pastoral themes.
  • E. hasPastoralCareSystem
    Indicates that an entity has an organized system or framework in place to provide pastoral or personal care and support to individuals.
  • 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_69f76e51d358819092bbc5f119f49476 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7bb3ff1b08190802b1063d55d3923 completed May 3, 2026, 9:16 p.m.
PD Predicate disambiguation batch_69f7b9a611a081908dd6aec1df3f4d7f completed May 3, 2026, 9:09 p.m.
Created at: May 3, 2026, 4:10 p.m.