Triple

T6835469
Position Surface form Disambiguated ID Type / Status
Subject Carin von Kantzow E157437 entity
Predicate metSpouseHermannGöringDuring P29935 FINISHED
Object post–World War I period 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: post–World War I period | Statement: [Carin von Kantzow, metSpouseHermannGöringDuring, post–World War I period]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: metSpouseHermannGöringDuring
Context triple: [Carin von Kantzow, metSpouseHermannGöringDuring, post–World War I period]
  • A. spouseEndTimeWithHermannGöring
    Indicates the time at which an individual’s spousal relationship with Hermann Göring ended.
  • B. metSpouseAt chosen
    Indicates that one person first encountered or became acquainted with their spouse at a particular place, event, or time.
  • C. commanderOfLuftwaffe
    Indicates that one entity serves as the commanding officer or leader of the Luftwaffe (the German air force).
  • D. mainNaziLeader
    Indicates that the subject is the primary or most prominent leader within a Nazi organization, regime, or group.
  • E. metSpouseThrough
    Indicates that one person became acquainted with and subsequently married their spouse as a result of a particular intermediary person, event, place, or context.
  • 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_69c6882c53608190b99aebef079b23bd completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d67a9ff88190b0d86331b3ea06aa completed March 27, 2026, 7:11 p.m.
PD Predicate disambiguation batch_69c6d09f90648190bc0a462c7d59de1b completed March 27, 2026, 6:46 p.m.
Created at: March 27, 2026, 2:19 p.m.