Triple

T16884708
Position Surface form Disambiguated ID Type / Status
Subject Nathan Algren E421508 entity
Predicate cultureImmersedIn P14191 FINISHED
Object samurai culture 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: samurai culture | Statement: [Nathan Algren, cultureImmersedIn, samurai culture]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: cultureImmersedIn
Context triple: [Nathan Algren, cultureImmersedIn, samurai culture]
  • A. culturalInterest
    Indicates a relationship where one entity has an interest in, appreciation for, or engagement with the culture, traditions, or cultural expressions associated with another entity.
  • B. culturalSphere chosen
    Indicates that one entity belongs to, is influenced by, or participates in the cultural domain, tradition, or milieu defined by another entity.
  • C. culturalCategory
    Indicates that one entity classifies or groups another entity according to a particular culture, tradition, or culturally defined type.
  • D. culturalScene
    Indicates a relationship where an entity is associated with, participates in, or characterizes a particular cultural environment, milieu, or set of cultural activities.
  • E. cultureHeroIn
    Indicates that an entity serves as a culture hero within a specified cultural or mythological tradition.
  • 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3bbc00cf8819088a08ddb00cd3c96 completed April 18, 2026, 5:13 p.m.
PD Predicate disambiguation batch_69e32b90ec3c819099c51bb7baf2984c completed April 18, 2026, 6:58 a.m.
Created at: April 10, 2026, 5:29 a.m.