Triple

T25784758
Position Surface form Disambiguated ID Type / Status
Subject Richard Eugene Glossip E649388 entity
Predicate causeOfPublicDebate P57644 FINISHED
Object reliability of capital punishment procedures 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: reliability of capital punishment procedures | Statement: [Richard Eugene Glossip, causeOfPublicDebate, reliability of capital punishment procedures]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: causeOfPublicDebate
Context triple: [Richard Eugene Glossip, causeOfPublicDebate, reliability of capital punishment procedures]
  • A. debatedAsCauseOf
    Indicates that one entity is discussed or argued over as a possible cause or origin of another entity.
  • B. controversialBecause
    Indicates that one entity is considered controversial specifically due to, or as a result of, its relationship with or association to another entity.
  • C. majorDebateWith
    Indicates a significant, often public or formal, debate or dispute occurring between two entities.
  • D. hasDebateAround
    Indicates that there is ongoing discussion, disagreement, or controversy surrounding the referenced entity or topic.
  • E. fieldOfDebate chosen
    Indicates that something is the subject or domain around which a debate or argumentative discussion is centered.
  • 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_69e7ab33e9308190afe415dc6f9e8876 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f638d11c988190af7fd4572b08e038 completed May 2, 2026, 5:48 p.m.
PD Predicate disambiguation batch_69f63706b6008190993577193c85ff50 completed May 2, 2026, 5:40 p.m.
Created at: April 22, 2026, 5:53 a.m.