Triple

T15899437
Position Surface form Disambiguated ID Type / Status
Subject Nathan Englander E385544 entity
Predicate religiousOrCulturalTheme P78619 FINISHED
Object Holocaust memory 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: Holocaust memory | Statement: [Nathan Englander, religiousOrCulturalTheme, Holocaust memory]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: religiousOrCulturalTheme
Context triple: [Nathan Englander, religiousOrCulturalTheme, Holocaust memory]
  • A. hasReligiousTheme
    Indicates that something (such as a work, event, or object) centrally involves or expresses religious ideas, symbols, practices, or narratives.
  • B. religiousCulturalContext
    Indicates the religious or cultural setting, tradition, or framework within which an entity, practice, or event occurs or is interpreted.
  • C. religiousTraditions
    Indicates a relationship where certain religious customs, practices, or belief systems are associated with or observed by an entity.
  • D. religiousElement
    Indicates that something is a component, aspect, or feature associated with a religion or religious practice.
  • E. culturalThemes chosen
    Indicates that there is a relationship between entities where one embodies, expresses, or is associated with particular cultural themes present in or derived from the other.
  • 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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e17d4d08f481909f38b75e3f42d9ab completed April 17, 2026, 12:22 a.m.
PD Predicate disambiguation batch_69e142ca3b208190946c3aa4c1e6087c completed April 16, 2026, 8:12 p.m.
Created at: April 10, 2026, 4:51 a.m.