Triple

T10632726
Position Surface form Disambiguated ID Type / Status
Subject Ernest Chambers E250498 entity
Predicate religiousCritique P46422 FINISHED
Object organized religion 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: organized religion | Statement: [Ernest Chambers, religiousCritique, organized religion]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: religiousCritique
Context triple: [Ernest Chambers, religiousCritique, organized religion]
  • A. religiousCritic chosen
    Indicates that one entity criticizes, challenges, or expresses disapproval of another entity on religious grounds or regarding religious beliefs, practices, or institutions.
  • B. religiousTraditionCritiqued
    Indicates that one religious tradition is being examined, challenged, or criticized by another party or perspective.
  • C. religiousTopicAddressed
    Indicates that a subject deals with, discusses, or focuses on a religious theme, issue, or question.
  • D. religiousControversy
    Indicates a relationship in which entities are involved in a dispute, conflict, or debate specifically concerning religious beliefs, practices, or institutions.
  • E. religiousAttitude
    Indicates an entity’s stance, disposition, or orientation toward religion or religious beliefs.
  • 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6df95f5e88190b34ce3ec972759ef completed April 8, 2026, 11:07 p.m.
PD Predicate disambiguation batch_69d6dd83b114819098e84dc658e82d7e completed April 8, 2026, 10:58 p.m.
Created at: April 8, 2026, 9:02 p.m.