Triple

T2756733
Position Surface form Disambiguated ID Type / Status
Subject John Nance Garner E61118 entity
Predicate officeEndAsVicePresident P20774 FINISHED
Object 1941 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: 1941 | Statement: [John Nance Garner, officeEndAsVicePresident, 1941]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: officeEndAsVicePresident
Context triple: [John Nance Garner, officeEndAsVicePresident, 1941]
  • A. leftOfficeAsVicePresident chosen
    Indicates that an individual ceased holding the position of vice president, marking the end of their term in that office.
  • B. termStartAsVicePresident
    Indicates that an entity begins its term in office holding the position of vice president.
  • C. vicePresident
    Indicates that one entity holds the role of second-in-command or deputy leader to another entity within an organizational or governmental hierarchy.
  • D. vicePresidentialTermEnd
    Indicates the date or point in time when an individual's service in a specific vice presidential term comes to an end.
  • E. servesAsVicePresidentDuring
    Indicates that one entity holds the position of vice president for another entity during a specified time period.
  • 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_69ab4b7a85bc819094a349b84beb1f2c completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb8a292c8190ab3982434805241a completed March 7, 2026, 8:02 a.m.
PD Predicate disambiguation batch_69abd82d005c81908a1ac7a1313c6d88 completed March 7, 2026, 7:47 a.m.
Created at: March 6, 2026, 9:56 p.m.