Triple

T4035575
Position Surface form Disambiguated ID Type / Status
Subject Behind a Mask E83818 entity
Predicate exploresPowerDynamicsBetween P17994 FINISHED
Object employers and governess 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: employers and governess | Statement: [Behind a Mask, exploresPowerDynamicsBetween, employers and governess]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: exploresPowerDynamicsBetween
Context triple: [Behind a Mask, exploresPowerDynamicsBetween, employers and governess]
  • A. exerciseOfPower
    Indicates the exertion or application of authority, control, or influence by one entity over another or within a given context.
  • B. scopeOfPower
    Indicates the range or extent of authority, control, or decision-making power that an entity is permitted to exercise.
  • C. involvedPower
    Indicates that a particular power, authority, or state is a participant or actor in the referenced event, situation, or relationship.
  • D. powerStructure chosen
    Indicates how authority, control, and decision-making are distributed and organized among entities within a system or group.
  • E. examinesPatriarchy
    Indicates a relationship where an entity critically analyzes or investigates the structures, norms, and power dynamics of patriarchy.
  • 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_69aed92f7cf0819098e0539bdcc3767f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb132f6c8190937acd35a6a5a9e4 completed March 9, 2026, 4:53 p.m.
PD Predicate disambiguation batch_69aef8fe440c819093a7fa22c4ff3f1a completed March 9, 2026, 4:44 p.m.
Created at: March 9, 2026, 3:36 p.m.