Triple

T1012203
Position Surface form Disambiguated ID Type / Status
Subject Françoise d’Aubigné, Marquise de Maintenon E21847 entity
Predicate socialBackground P23245 FINISHED
Object impoverished nobility 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: impoverished nobility | Statement: [Françoise d’Aubigné, Marquise de Maintenon, socialBackground, impoverished nobility]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: socialBackground
Context triple: [Françoise d’Aubigné, Marquise de Maintenon, socialBackground, impoverished nobility]
  • A. typicalBackground
    Indicates that an entity has a usual or commonly expected background, context, or setting associated with it.
  • B. socialBase
    Indicates a foundational social relationship or structure that underlies or supports interactions between entities.
  • C. socialComposition
    Indicates the makeup or distribution of different social groups or categories within a population or community.
  • D. socialMedia
    Indicates a relationship where one entity uses, is associated with, or interacts through social networking or content-sharing platforms with another entity.
  • E. socialContribution
    Indicates that an entity engages in actions or provides resources that benefit society or a community beyond its own direct interests.
  • F. None of above. chosen

Provenance (4 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_69a493c68e24819080ed0ee8bcfd5ce0 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7be907c8190b5c6ea89257755a7 completed March 1, 2026, 10:03 p.m.
PD Predicate disambiguation batch_69a4b72207c08190a3dbb2aa7acbbc71 completed March 1, 2026, 10:01 p.m.
PDg Predicate description generation batch_69a4b7bd3d50819091e6f1d2ffe4c7ee completed March 1, 2026, 10:03 p.m.
Created at: March 1, 2026, 7:41 p.m.