Triple

T13597544
Position Surface form Disambiguated ID Type / Status
Subject Special Counsel investigation into Russian interference in the 2016 United States elections E324859 entity
Predicate convictionCount P5675 FINISHED
Object 5 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: 5 | Statement: [Special Counsel investigation into Russian interference in the 2016 United States elections, convictionCount, 5]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: convictionCount
Context triple: [Special Counsel investigation into Russian interference in the 2016 United States elections, convictionCount, 5]
  • A. numberOfConvictions chosen
    Indicates the count of times an entity has been formally found guilty of an offense.
  • B. convictedOf
    Indicates that a person or entity has been found guilty of committing a specified offense or crime through a formal legal process.
  • C. convictedBy
    Indicates that an authority, typically a court or judge, has formally found an entity guilty of a crime or offense.
  • D. convictionYear
    Indicates the calendar year in which an entity was formally convicted of an offense.
  • E. requiredConvictionThreshold
    Indicates the minimum level of certainty or confidence that must be reached before a particular decision, judgment, or action is considered justified or allowed.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb0590558819080ccc5874a650b1e completed April 12, 2026, 2:46 p.m.
PD Predicate disambiguation batch_69dbae18eaf48190809e8b365856cde9 completed April 12, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:49 p.m.