Triple

T2845217
Position Surface form Disambiguated ID Type / Status
Subject Rose-Claire des Vergers de Sannois E62566 entity
Predicate relativeTypeToNapoleonBonaparte P43365 FINISHED
Object mother-in-law 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: mother-in-law | Statement: [Rose-Claire des Vergers de Sannois, relativeTypeToNapoleonBonaparte, mother-in-law]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relativeTypeToNapoleonBonaparte
Context triple: [Rose-Claire des Vergers de Sannois, relativeTypeToNapoleonBonaparte, mother-in-law]
  • A. historicalFigureAssociated
    Indicates that there is a notable connection or linkage between an entity and a historical figure, such as influence, collaboration, representation, or involvement in the figure’s life or legacy.
  • B. historicalFigure
    Indicates that an entity is recognized as a notable person from the past who played a significant role in history.
  • C. notableHistoricalEntity
    Indicates that an entity holds recognized historical significance or prominence within a historical context.
  • D. monarchOfFrenchSide
    Indicates that one entity serves as the ruling monarch over the French side or faction in a given context or domain.
  • E. historicalRelationship
    Indicates a relationship that existed between entities in the past, often tied to a specific historical period, context, or event.
  • 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_69ab4c3d16bc81908b3a1c98fbd287fe completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf1b58c88190b45d8c5a76dc52ac completed March 7, 2026, 8:17 a.m.
PD Predicate disambiguation batch_69abdd0e86808190bcefffafbd3cd441 completed March 7, 2026, 8:08 a.m.
PDg Predicate description generation batch_69abde2cdcc48190827195d3ae70aa19 completed March 7, 2026, 8:13 a.m.
Created at: March 6, 2026, 10:02 p.m.