Triple

T11142874
Position Surface form Disambiguated ID Type / Status
Subject Ivan Kalyayev E263597 entity
Predicate legal penalty P36372 FINISHED
Object death penalty 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: death penalty | Statement: [Ivan Kalyayev, legal penalty, death penalty]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legal penalty
Context triple: [Ivan Kalyayev, legal penalty, death penalty]
  • A. violationConsequences chosen
    Indicates the negative outcomes, penalties, or repercussions that result from a violation of a rule, law, or agreement.
  • B. legalConstraint
    Indicates that one entity imposes or is subject to a rule, restriction, or requirement defined by a legal or regulatory framework in relation to another entity or action.
  • C. legalAct
    Indicates that an entity performs, enacts, or is involved in a formal legal action, measure, or proceeding under a legal framework.
  • D. penaltyProvision
    Indicates that a rule, contract, or law includes a clause specifying a punishment or sanction for non-compliance or violation.
  • E. criminalPenaltyDoesNotApplyTo
    Indicates that a specified criminal penalty is excluded or not applicable to a particular person, group, situation, or offense.
  • 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8623158819096ad1678fa9e72bb completed April 9, 2026, 5:56 p.m.
PD Predicate disambiguation batch_69d75ce104908190b6cc31ef2f67846a completed April 9, 2026, 8:01 a.m.
Created at: April 8, 2026, 9:28 p.m.