Triple

T28520457
Position Surface form Disambiguated ID Type / Status
Subject Kurt Dussander E721747 entity
Predicate settingOfCharacterBackstory P173719 FINISHED
Object Nazi Germany NE NERFINISHED

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: Nazi Germany | Statement: [Kurt Dussander, settingOfCharacterBackstory, Nazi Germany]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: settingOfCharacterBackstory
Context triple: [Kurt Dussander, settingOfCharacterBackstory, Nazi Germany]
  • A. roleInCharacterBackstory
    Indicates that one entity plays a specific role or part in shaping another entity’s character backstory or personal history.
  • B. expandsBackstoryOf
    Indicates that one entity provides additional background details or context that elaborate on the history or origins of another entity.
  • C. protagonistBackground
    Indicates that one entity serves as the background, history, or prior circumstances of the protagonist entity in a narrative or story.
  • D. hasFictionalBackstory
    Indicates that an entity is associated with an invented or imaginary narrative background rather than a real-world history.
  • E. chronologicalBackstoryIn
    Indicates that one event or narrative element serves as a prior backstory that occurs earlier in time within the timeline of another event or narrative.
  • F. None of above. chosen

Provenance (4 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_69f01a5cbcc4819083fb4e723378713e completed April 28, 2026, 2:24 a.m.
NER Named-entity recognition batch_69f6b9a84ff88190ab5a71f7ef1e0dac completed May 3, 2026, 2:57 a.m.
PD Predicate disambiguation batch_69f6b626120c819097c9ad04487570d7 completed May 3, 2026, 2:42 a.m.
PDg Predicate description generation batch_69f6b8fe147881908ba17483c7b13f05 completed May 3, 2026, 2:54 a.m.
Created at: April 28, 2026, 3:20 a.m.