Triple

T21424159
Position Surface form Disambiguated ID Type / Status
Subject Educator 64 E528508 entity
Predicate monitorType P143919 FINISHED
Object monochrome CRT 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: monochrome CRT | Statement: [Educator 64, monitorType, monochrome CRT]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: monitorType
Context triple: [Educator 64, monitorType, monochrome CRT]
  • A. monitoringBody
    Indicates that one entity is responsible for overseeing, supervising, or tracking the activities, performance, or compliance of another entity.
  • B. monitoringTarget
    Indicates that one entity is being observed, tracked, or supervised by another as the focus of monitoring activities.
  • C. monitoringOutput
    Indicates that one entity observes, records, or tracks the performance, behavior, or results produced by another entity or process.
  • D. monitoringRequirement
    Indicates that one entity is obligated to observe, track, or regularly check another entity or process according to specified criteria or conditions.
  • E. typicalMonitor
    Indicates that one entity commonly or characteristically monitors, observes, or oversees another entity in a usual or expected manner.
  • 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_69e0c455f3688190810bc96365791b0f completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee813b798c8190a379cbf6cc6e14d2 completed April 26, 2026, 9:18 p.m.
PD Predicate disambiguation batch_69e61639ee288190889ffd500d1260f6 completed April 20, 2026, 12:04 p.m.
PDg Predicate description generation batch_69e6190163448190a2404b396215c686 completed April 20, 2026, 12:16 p.m.
Created at: April 16, 2026, 5:48 p.m.