Triple

T34834450
Position Surface form Disambiguated ID Type / Status
Subject Louis, Duke of Guyenne E1004159 entity
Predicate monarchServedAsHeirTo P56799 FINISHED
Object Charles VI of France 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: Charles VI of France | Statement: [Louis, Duke of Guyenne, monarchServedAsHeirTo, Charles VI of France]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: monarchServedAsHeirTo
Context triple: [Louis, Duke of Guyenne, monarchServedAsHeirTo, Charles VI of France]
  • A. monarchSheIsHeirTo chosen
    Indicates that the subject is the designated heir to the specified monarch’s throne or title.
  • B. monarchSuccessor
    Indicates that one monarch directly follows another in a royal line of succession.
  • C. succeededOnThroneAfter
    Indicates that one entity became the ruler or monarch immediately following another entity’s reign on the same throne.
  • D. succeededToThroneBy
    Indicates that one ruler or monarch is followed in succession by another who takes over the throne.
  • E. hereditaryMonarch
    Indicates that a person holds a monarchical position that is passed down through a family line according to hereditary succession rules.
  • 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_69f76db7d1b4819093bd4912d80d845d completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f782f4f10081908f97f6d0d2dbeec7 completed May 3, 2026, 5:16 p.m.
PD Predicate disambiguation batch_69f780ff71cc8190a67e71076fbad81a completed May 3, 2026, 5:08 p.m.
Created at: May 3, 2026, 4 p.m.