Triple

T34101079
Position Surface form Disambiguated ID Type / Status
Subject Card, Moran, and Newell keystroke-level model E874569 entity
Predicate timeEstimationMethod P21771 FINISHED
Object sum of operator times 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: sum of operator times | Statement: [Card, Moran, and Newell keystroke-level model, timeEstimationMethod, sum of operator times]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: timeEstimationMethod
Context triple: [Card, Moran, and Newell keystroke-level model, timeEstimationMethod, sum of operator times]
  • A. approximateEstimation
    Indicates an estimation relationship where one value or assessment is only roughly or closely, but not exactly, equal to another.
  • B. timingMethod chosen
    Indicates the method or technique used to measure or record the timing of an event or process.
  • C. endTimeApproximate
    Indicates that the recorded end time of an event or action is not exact but an approximate value.
  • D. timeToComplete
    Indicates the duration required for an entity or process to be fully completed.
  • E. areEstimatedIn
    Indicates that a value or quantity is approximated or inferred within a specified context, framework, or unit.
  • 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_69f349a735208190a1dbfb1c2a121059 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f70c692af8819084489cd50607ca1b completed May 3, 2026, 8:50 a.m.
PD Predicate disambiguation batch_69f70ac0170c819098e3b8e41d02efef completed May 3, 2026, 8:43 a.m.
Created at: May 1, 2026, 1:53 a.m.