Triple

T3290664
Position Surface form Disambiguated ID Type / Status
Subject Vortigern E69091 entity
Predicate methodOfGainingPower P47765 FINISHED
Object usurpation of the throne 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: usurpation of the throne | Statement: [Vortigern, methodOfGainingPower, usurpation of the throne]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: methodOfGainingPower
Context triple: [Vortigern, methodOfGainingPower, usurpation of the throne]
  • A. hasSuperpower
    Indicates that one entity possesses a special or extraordinary power or ability beyond normal human capabilities.
  • B. regainedPowerIn
    Indicates that an entity has recovered or reestablished its previous level of power, control, or authority within a specified context or domain.
  • C. powerLevel
    Indicates the degree or intensity of power or strength possessed by an entity in a given context.
  • D. hasPower
    Indicates that one entity possesses authority, control, or influence over another entity or over a particular domain or resource.
  • E. typeOfPowerGranted
    Indicates the specific kind or category of power or authority that is conferred from one entity to another.
  • 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_69ad859d45748190b0742408c954b39f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb05bd6b08190bcb9f0e5da82bc21 completed March 8, 2026, 5:22 p.m.
PD Predicate disambiguation batch_69ada421fadc8190b7c7d3c8afd20061 completed March 8, 2026, 4:30 p.m.
PDg Predicate description generation batch_69ada526764881908e4bd52938d5374d completed March 8, 2026, 4:34 p.m.
Created at: March 8, 2026, 3:10 p.m.