Triple

T4824768
Position Surface form Disambiguated ID Type / Status
Subject Galen Black E107795 entity
Predicate reasonForJobTermination P41278 FINISHED
Object use of peyote in a religious ceremony 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: use of peyote in a religious ceremony | Statement: [Galen Black, reasonForJobTermination, use of peyote in a religious ceremony]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: reasonForJobTermination
Context triple: [Galen Black, reasonForJobTermination, use of peyote in a religious ceremony]
  • A. reasonForLeaving
    Indicates the cause, motivation, or circumstance that led an entity to depart or discontinue an association, position, or place.
  • B. reasonForDismissal chosen
    Indicates the cause or justification for which an entity (such as a person, case, or item) was dismissed, terminated, or removed.
  • C. reasonForEndOfTerm
    Indicates the specific cause or circumstance that led to the termination or conclusion of a term, position, or period of service.
  • D. reasonForWork
    Indicates that one entity specifies the motivation, cause, or purpose behind another entity’s work or activity.
  • E. designationReason
    Indicates the reason or justification for assigning a particular designation or status to an 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_69bd43fac8188190803f0327190621e4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6ddd17d881909f7731ff2b460e83 completed March 20, 2026, 3:55 p.m.
PD Predicate disambiguation batch_69bd6c1fe130819087ae01309f96a0c8 completed March 20, 2026, 3:47 p.m.
Created at: March 20, 2026, 1:24 p.m.