Triple

T13500271
Position Surface form Disambiguated ID Type / Status
Subject Philip Schuyler Green E320868 entity
Predicate primaryThemeOfStoryline P12980 FINISHED
Object exposing antisemitism in American society 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: exposing antisemitism in American society | Statement: [Philip Schuyler Green, primaryThemeOfStoryline, exposing antisemitism in American society]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryThemeOfStoryline
Context triple: [Philip Schuyler Green, primaryThemeOfStoryline, exposing antisemitism in American society]
  • A. primaryThemeOrigin
    Indicates that the primary thematic content of something (e.g., a work or discourse) originates from or is derived from a particular source or context.
  • B. mainThemeCharacter
    Indicates that a character serves as the central or primary figure associated with the main theme of a work or narrative.
  • C. primaryMotif
    Indicates that one entity serves as the main recurring theme or dominant motif associated with another entity.
  • D. primaryTone
    Indicates the main or dominant emotional or stylistic quality characterizing something, in contrast to any secondary or supporting tones.
  • E. primaryTopicOf chosen
    Indicates that a given subject is the main or central topic described by another resource (such as a document, page, or record).
  • 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf4fab688190bdc746985b0c7338 completed April 12, 2026, 2:42 p.m.
PD Predicate disambiguation batch_69dbae06061881909a6a6032e0507587 completed April 12, 2026, 2:36 p.m.
Created at: April 9, 2026, 9:43 p.m.