Triple

T2143646
Position Surface form Disambiguated ID Type / Status
Subject Ephrem the Syrian E47014 entity
Predicate clericalStatus P18869 FINISHED
Object deacon 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: deacon | Statement: [Ephrem the Syrian, clericalStatus, deacon]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: clericalStatus
Context triple: [Ephrem the Syrian, clericalStatus, deacon]
  • A. legalStatusClarifiedBy
    Indicates that the legal status of something is defined, explained, or resolved by a specific document, decision, or authoritative act.
  • B. hasFormalStatus chosen
    Indicates that an entity possesses an officially recognized or legally defined status within a formal system or context.
  • C. careerStatus
    Indicates the current stage, position, or condition of an entity within its professional or occupational life.
  • D. governingStatus
    Indicates the political or administrative condition under which an entity is currently governed or exercising governing authority.
  • E. statutoryType
    Indicates the specific legal or statutory category under which something is formally classified or regulated.
  • 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_69a88a1933e0819094f18426ed74180f completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbeaa14bc81908486683decd7ae42 completed March 7, 2026, 5:59 a.m.
PD Predicate disambiguation batch_69abbd9846e88190b6c2941dd9ce7749 completed March 7, 2026, 5:54 a.m.
Created at: March 4, 2026, 7:44 p.m.