Triple

T10215889
Position Surface form Disambiguated ID Type / Status
Subject Théoden E242439 entity
Predicate causeOfManipulation P68482 FINISHED
Object influence of Saruman through Gríma Wormtongue 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: influence of Saruman through Gríma Wormtongue | Statement: [Théoden, causeOfManipulation, influence of Saruman through Gríma Wormtongue]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: causeOfManipulation
Context triple: [Théoden, causeOfManipulation, influence of Saruman through Gríma Wormtongue]
  • A. manipulatedBy chosen
    Indicates that an entity is controlled, influenced, or operated by another entity, often in a deliberate or strategic manner.
  • B. causeOf
    Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
  • C. causeOfAction
    Indicates that one entity is the reason or basis for initiating a legal action or lawsuit against another entity.
  • D. causeStatus
    Indicates that one entity brings about, initiates, or is responsible for a particular state or condition in another entity.
  • E. romanticManipulationOf
    Indicates a relationship where one entity deliberately exploits romantic feelings or dynamics to control, influence, or deceive 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_69d381ae26c48190985abd0e25ee5d04 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d3aa2894d0819095704449ecc2db6c completed April 6, 2026, 12:42 p.m.
PD Predicate disambiguation batch_69d3955f61f88190b8d37ff645cd44d3 completed April 6, 2026, 11:13 a.m.
Created at: April 6, 2026, 11:05 a.m.