Triple

T150573
Position Surface form Disambiguated ID Type / Status
Subject The New World E3420 entity
Predicate narrativeScope P2919 FINISHED
Object history of English-speaking peoples 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: history of English-speaking peoples | Statement: [The New World, narrativeScope, history of English-speaking peoples]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: narrativeScope
Context triple: [The New World, narrativeScope, history of English-speaking peoples]
  • A. narrativePerspective
    Indicates the point of view or vantage from which a narrative is told, specifying the relationship between the storyteller and the events being described.
  • B. storyBy
    Indicates that one entity is the creator or author of the story associated with another entity.
  • C. contextOf chosen
    Indicates that one entity provides the situational, informational, or environmental background within which another entity exists, occurs, or is interpreted.
  • D. context
    Indicates that one entity provides the surrounding circumstances, setting, or background within which another entity, event, or statement occurs or is interpreted.
  • E. fictionalizationOf
    Indicates that one entity is a fictional or dramatized representation, adaptation, or reimagining of another (typically real or earlier) entity or event.
  • 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_69a252868de4819080e21c9938bfe8b6 completed Feb. 28, 2026, 2:27 a.m.
NER Named-entity recognition batch_69a2580dda148190a522e0ac276d5f33 completed Feb. 28, 2026, 2:50 a.m.
PD Predicate disambiguation batch_69a2565adaf48190b68ae4444ff83ccd completed Feb. 28, 2026, 2:43 a.m.
Created at: Feb. 28, 2026, 2:31 a.m.