Triple

T3735810
Position Surface form Disambiguated ID Type / Status
Subject Kuzma Minin E79179 entity
Predicate typeOfHero P5518 FINISHED
Object folk hero of Russia 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: folk hero of Russia | Statement: [Kuzma Minin, typeOfHero, folk hero of Russia]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfHero
Context triple: [Kuzma Minin, typeOfHero, folk hero of Russia]
  • A. typeOfBravery
    Indicates a specific kind or category of bravery that characterizes an entity’s courageous behavior or action.
  • B. protagonistType
    Indicates the role or category that the main character (protagonist) of a story or scenario belongs to.
  • C. typeOfSaint
    Indicates that one entity is classified as a specific kind or category of saint in relation to another entity.
  • D. typeOfRole chosen
    Indicates that one entity specifies the kind or category of role that another entity holds or performs.
  • E. roleOfWillChampion
    Indicates that one entity is the specific role, position, or function held by Will Champion in relation to another entity.
  • 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_69ad8b0e4650819090ad7cef094285e8 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb3b399c819091b42209925c0d8f completed March 8, 2026, 7:17 p.m.
PD Predicate disambiguation batch_69adc04746588190b0dc535638f23546 completed March 8, 2026, 6:30 p.m.
Created at: March 8, 2026, 3:34 p.m.