Triple

T2595755
Position Surface form Disambiguated ID Type / Status
Subject Argeiphontes E58225 entity
Predicate emphasizesAttributeOfHermes P40114 FINISHED
Object cunning 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: cunning | Statement: [Argeiphontes, emphasizesAttributeOfHermes, cunning]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: emphasizesAttributeOfHermes
Context triple: [Argeiphontes, emphasizesAttributeOfHermes, cunning]
  • A. hasEmphasis
    Indicates that one element is given special stress, importance, or prominence relative to others.
  • B. emphasizesAttributeOfChrist
    Indicates that something highlights, underscores, or draws special attention to a particular attribute or quality of Christ.
  • C. emphasizesAttributeOfHolySpirit
    Indicates that something highlights, underscores, or draws special attention to a particular attribute or quality of the Holy Spirit.
  • D. mottoEmphasizes
    Indicates that a motto highlights, stresses, or gives special importance to a particular idea, value, or theme.
  • E. emblemFeatures
    Indicates that an emblem includes or displays specific visual elements or characteristics.
  • F. None of above. chosen

Provenance (4 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_69ab4ac14040819098b13f4a27d5c8ff completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd42978f881909f217e7ec9ac3144 completed March 7, 2026, 7:30 a.m.
PD Predicate disambiguation batch_69abd0d344988190a18dd93b13e002e6 completed March 7, 2026, 7:16 a.m.
PDg Predicate description generation batch_69abd2baee308190bdaa41ef1f6bc9cc completed March 7, 2026, 7:24 a.m.
Created at: March 6, 2026, 9:49 p.m.