Triple

T3870180
Position Surface form Disambiguated ID Type / Status
Subject Marguerite Laurier E91963 entity
Predicate settingGenre P14 FINISHED
Object war 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: war | Statement: [Marguerite Laurier, settingGenre, war]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: settingGenre
Context triple: [Marguerite Laurier, settingGenre, war]
  • A. genreWithin
    Indicates that one genre is a subgenre or more specific category contained within another, broader genre.
  • B. supportedGenre
    Indicates that an entity (such as a system, service, or tool) is capable of handling, providing, or working with a specified genre.
  • C. genre chosen
    Indicates the artistic or thematic category to which a work (such as a book, film, or song) belongs.
  • D. genreFeatures
    Indicates that a particular genre is characterized or defined by certain features or attributes.
  • E. genreRestriction
    Indicates that there is a limitation or constraint on which genres are allowed or applicable in a given context.
  • 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_69aed9645f348190a9868e7cef56ab7e completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec533828819080f52dae15fdbecd completed March 9, 2026, 3:50 p.m.
PD Predicate disambiguation batch_69aee754dddc8190936e1f9c40a770db completed March 9, 2026, 3:29 p.m.
Created at: March 9, 2026, 3:20 p.m.