Triple

T29654880
Position Surface form Disambiguated ID Type / Status
Subject High Templar E750237 entity
Predicate isPsionic P150714 FINISHED
Object yes 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: yes | Statement: [High Templar, isPsionic, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isPsionic
Context triple: [High Templar, isPsionic, yes]
  • A. hasChildWithPsychicAbility
    Indicates that an entity has at least one child who possesses a psychic or supernatural mental ability.
  • B. usesPowerType
    Indicates that one entity operates or functions by means of a specified type or source of power.
  • C. featuresPsychicCharacter chosen
    Indicates that the subject includes or involves a character who possesses psychic or telepathic abilities.
  • D. hasRitualFocus
    Indicates that an entity is associated with or directed toward a particular object, practice, or element that serves as the central focus of a ritual.
  • E. usesPowerFor
    Indicates that one entity applies or exploits a particular power, energy, or capability for a specific purpose or activity.
  • 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_69f0d6226fe881908819197c9ef9ee04 completed April 28, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f66f274ba08190bcdbdfeccf4af09d completed May 2, 2026, 9:39 p.m.
PD Predicate disambiguation batch_69f6659f246081909821c5f452d14e8f completed May 2, 2026, 8:59 p.m.
Created at: April 28, 2026, 6:54 p.m.