Triple

T31396588
Position Surface form Disambiguated ID Type / Status
Subject Richard Nixon’s 1952 Checkers speech E800879 entity
Predicate triggeringIssue P20425 FINISHED
Object allegations about a secret political expense fund 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: allegations about a secret political expense fund | Statement: [Richard Nixon’s 1952 Checkers speech, triggeringIssue, allegations about a secret political expense fund]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: triggeringIssue
Context triple: [Richard Nixon’s 1952 Checkers speech, triggeringIssue, allegations about a secret political expense fund]
  • A. raisesIssue chosen
    Indicates that one entity brings up, reports, or formally submits a concern, problem, or topic for attention to another entity or system.
  • B. startsInIssue
    Indicates that an event, process, or condition begins within the context or scope of a particular issue.
  • C. issueType
    Indicates the specific category or classification assigned to an issue within a tracking or management context.
  • D. knownIssue
    Indicates that the subject has an issue or problem that is already identified, recognized, or documented.
  • E. underlyingIssue
    Indicates that one situation, problem, or condition is the fundamental cause or root problem behind another.
  • 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_69f224ea9998819086ae2e4f4f4091c8 completed April 29, 2026, 3:34 p.m.
NER Named-entity recognition batch_69f6a5f71b2c8190aade8a83f465be0c completed May 3, 2026, 1:33 a.m.
PD Predicate disambiguation batch_69f69fe66df08190958558d63ee623d9 completed May 3, 2026, 1:07 a.m.
Created at: April 29, 2026, 9:19 p.m.