Triple

T37714969
Position Surface form Disambiguated ID Type / Status
Subject Rusty Collins E939432 entity
Predicate controlIssues P179204 FINISHED
Object initial difficulty controlling fire powers 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: initial difficulty controlling fire powers | Statement: [Rusty Collins, controlIssues, initial difficulty controlling fire powers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: controlIssues
Context triple: [Rusty Collins, controlIssues, initial difficulty controlling fire powers]
  • A. controlsSystem
    Indicates that one entity has the authority or capability to direct, manage, or regulate the operation of a system.
  • B. controlChallenges chosen
    Indicates a situation where an entity faces difficulties or obstacles in managing, directing, or regulating another entity or process.
  • C. controlMethods
    Indicates the methods or techniques used by one entity to direct, regulate, or influence the behavior, operation, or state of another entity.
  • D. controlInnovation
    Indicates that one entity directs, regulates, or significantly influences the innovation activities or outcomes of another entity.
  • E. controlApp
    Indicates that one entity has the ability or authority to operate, manage, or direct the behavior of an application.
  • 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_69f76edc208c8190bc8b9683f75e1024 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69ff49f888348190b9c55afa73b99e6a completed May 9, 2026, 2:51 p.m.
PD Predicate disambiguation batch_69ff49614ef88190ac70b034c55ad738 completed May 9, 2026, 2:49 p.m.
Created at: May 3, 2026, 4:18 p.m.