Triple

T24968893
Position Surface form Disambiguated ID Type / Status
Subject Johanna von Bismarck E624823 entity
Predicate spouseOfPositionHeldBySpouse P26554 FINISHED
Object Minister-President of Prussia 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: Minister-President of Prussia | Statement: [Johanna von Bismarck, spouseOfPositionHeldBySpouse, Minister-President of Prussia]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: spouseOfPositionHeldBySpouse
Context triple: [Johanna von Bismarck, spouseOfPositionHeldBySpouse, Minister-President of Prussia]
  • A. spouseOffice chosen
    Indicates that one entity holds an office or position that is associated with, or held by, the spouse of another entity.
  • B. spouseLaterOffice
    Indicates that one person’s spouse held a particular office or position at a later time than the person in question.
  • C. spouseOfOfficeHolderJurisdiction
    Indicates that one person is the spouse of a public office holder, with the relationship specifically tied to the jurisdiction in which that office is held.
  • D. spouseDiplomaticRole
    Indicates that one person is the spouse of another person who holds or held a diplomatic position or role.
  • E. spouseOfRole
    Indicates that one role is the spouse (husband, wife, or equivalent marital partner) of another role.
  • 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_69e2ff24512481908e9a72315b8d0354 completed April 18, 2026, 3:48 a.m.
NER Named-entity recognition batch_69f4490283c481908c18246dc7125eec completed May 1, 2026, 6:32 a.m.
PD Predicate disambiguation batch_69f442c0c2e88190acd7f170f10ccef6 completed May 1, 2026, 6:05 a.m.
Created at: April 18, 2026, 6 a.m.