Triple

T1294985
Position Surface form Disambiguated ID Type / Status
Subject Battle of New Orleans E27633 entity
Predicate afterEffect P23809 FINISHED
Object contributed to American nationalism in the Era of Good Feelings 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: contributed to American nationalism in the Era of Good Feelings | Statement: [Battle of New Orleans, afterEffect, contributed to American nationalism in the Era of Good Feelings]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: afterEffect
Context triple: [Battle of New Orleans, afterEffect, contributed to American nationalism in the Era of Good Feelings]
  • A. after
    Indicates that one event, state, or action occurs later in time than another, following it in temporal order.
  • B. visualEffect
    Indicates that one entity produces, modifies, or is associated with a particular visual effect on another entity or within a scene.
  • C. specialEffectsBy
    Indicates that the special effects for something (such as a film, scene, or shot) are created or provided by a particular person or entity.
  • D. controlledAfter
    Indicates that one entity gains or maintains control over another entity only after a specified time, event, or condition has occurred.
  • E. notableEffect chosen
    Indicates that one entity has a significant impact, consequence, or influence on another entity or situation.
  • 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_69a496d6682881909ba658f1c1e0e2b0 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c3bb3a9c81909db2ad91defd87b6 completed March 1, 2026, 10:54 p.m.
PD Predicate disambiguation batch_69a4bee64d908190b6a9bb479959d523 completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:51 p.m.