Triple

T18778242
Position Surface form Disambiguated ID Type / Status
Subject Charles B. Rangel E459185 entity
Predicate reasonForCensure P60877 FINISHED
Object ethics violations related to fundraising and financial disclosure 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: ethics violations related to fundraising and financial disclosure | Statement: [Charles B. Rangel, reasonForCensure, ethics violations related to fundraising and financial disclosure]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: reasonForCensure
Context triple: [Charles B. Rangel, reasonForCensure, ethics violations related to fundraising and financial disclosure]
  • A. reason for censure chosen
    Indicates the specific cause, behavior, or circumstance that led to someone or something being formally criticized or condemned.
  • B. reasonForBan
    Indicates the justification or cause that led to an entity being banned.
  • C. censorshipReason
    Indicates the justification or cause given for why certain content is suppressed, restricted, or removed.
  • D. reasonForSuppression
    Indicates the justification or cause for which something (such as information, data, or content) has been withheld, hidden, or prevented from being shown or used.
  • E. reasonForSanctions
    Indicates the underlying cause or justification for imposing sanctions on 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_69d8d396f54c8190ba49db31e8743842 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5933c640081909bb6fbaa1a21d411 completed April 20, 2026, 2:45 a.m.
PD Predicate disambiguation batch_69e48d1126e4819099607837ed5aadca completed April 19, 2026, 8:06 a.m.
Created at: April 10, 2026, 11:52 a.m.