Triple

T36077651
Position Surface form Disambiguated ID Type / Status
Subject Saint Thecla E1043540 entity
Predicate statusOfActsOfPaulAndThecla P59233 FINISHED
Object non-canonical 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: non-canonical | Statement: [Saint Thecla, statusOfActsOfPaulAndThecla, non-canonical]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: statusOfActsOfPaulAndThecla
Context triple: [Saint Thecla, statusOfActsOfPaulAndThecla, non-canonical]
  • A. statusInChurchFathers
    Indicates the recognized standing, role, or treatment of something within the writings or tradition of the Church Fathers.
  • B. scripturalStatus
    Indicates the relationship between a text and its recognition or classification as scriptural, canonical, or authoritative within a religious or doctrinal tradition.
  • C. biblicalStatus
    Indicates that one entity has a particular standing, role, or classification within a biblical or scriptural context in relation to another entity.
  • D. religiousCanonStatus chosen
    Indicates the status or standing of something with respect to its recognition or inclusion within a particular religious canon.
  • E. describesPaulineLettersAs
    Indicates that a subject characterizes, labels, or portrays something specifically as Pauline letters.
  • 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_69f76e3154908190a6f702671c2bea08 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69ff9a25407c81909faa86e72a7a9d17 completed May 9, 2026, 8:33 p.m.
PD Predicate disambiguation batch_69ff99c613688190a03b2f93d5ccad2b completed May 9, 2026, 8:32 p.m.
Created at: May 3, 2026, 4:08 p.m.