Triple

T36247608
Position Surface form Disambiguated ID Type / Status
Subject Reign of Henry II of France E891706 entity
Predicate royalMistressOfMonarch P86632 FINISHED
Object Diane de Poitiers NE NERFINISHED

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: Diane de Poitiers | Statement: [Reign of Henry II of France, royalMistressOfMonarch, Diane de Poitiers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: royalMistressOfMonarch
Context triple: [Reign of Henry II of France, royalMistressOfMonarch, Diane de Poitiers]
  • A. royalMistressOf chosen
    Indicates that one person is the (typically unofficial) romantic or sexual partner of a royal figure, such as a king or prince.
  • B. monarchSheIsHeirTo
    Indicates that the subject is the designated heir to the specified monarch’s throne or title.
  • C. monarchOfConsort
    Indicates that one entity is the consort (spouse) of the reigning monarch of another entity (typically a state or territory).
  • D. monarchMother
    Indicates that one entity is the mother of another entity who holds or held a monarchical position (such as king, queen, emperor, etc.).
  • E. regentSpouse
    Indicates that one person is the spouse of a regent, i.e., married to an individual who rules on behalf of a monarch or in place of the sovereign.
  • 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_69f76e44993481908fa75e4c48d0aab3 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7b5d4545881908e3b2865004444a1 completed May 3, 2026, 8:53 p.m.
PD Predicate disambiguation batch_69f7b4c44390819084fb5558b354658f completed May 3, 2026, 8:49 p.m.
Created at: May 3, 2026, 4:09 p.m.