Triple

T3377500
Position Surface form Disambiguated ID Type / Status
Subject Prydonian Chapter E71099 entity
Predicate selectionBias P36177 FINISHED
Object leadership potential 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: leadership potential | Statement: [Prydonian Chapter, selectionBias, leadership potential]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: selectionBias
Context triple: [Prydonian Chapter, selectionBias, leadership potential]
  • A. typicalPositionBias
    Indicates a systematic tendency for something to be placed, chosen, or interpreted in a commonly favored or default position relative to other options.
  • B. selectionReason
    Indicates the reason or justification for choosing or selecting one entity over alternatives.
  • C. selectionCharacteristic chosen
    Indicates a distinguishing feature or criterion used to choose or differentiate one entity from others.
  • D. usesSamplingOf
    Indicates that one entity employs or relies on a sample or subset derived from another entity for its operation, analysis, or processing.
  • E. selectionMadeBy
    Indicates that a particular choice or selection was performed or decided by a specific agent or 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_69ad85a7f80c8190a05e43013f298942 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb2e8d1988190b6fb6c4c5502f25f completed March 8, 2026, 5:33 p.m.
PD Predicate disambiguation batch_69ada433059881908e46f38cc5f40a32 completed March 8, 2026, 4:30 p.m.
Created at: March 8, 2026, 3:13 p.m.