Triple

T34311293
Position Surface form Disambiguated ID Type / Status
Subject Francis III, Duke of Brittany E880452 entity
Predicate successorAsHeirToFrenchThrone P23942 FINISHED
Object Henry II 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: Henry II of France | Statement: [Francis III, Duke of Brittany, successorAsHeirToFrenchThrone, Henry II of France]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: successorAsHeirToFrenchThrone
Context triple: [Francis III, Duke of Brittany, successorAsHeirToFrenchThrone, Henry II of France]
  • A. successorAsKingOfFrance
    Indicates that one person becomes the next king of France following another person in the royal succession.
  • B. successorInFranceClaim
    Indicates that one entity is recognized or asserted as the successor to another entity specifically in the context of a claim related to France.
  • C. successorAsDauphin chosen
    Indicates that one person became the next holder of the title "Dauphin" (heir apparent to the French throne) after another person.
  • D. successorAsDukeOfOrléans
    Indicates that one entity became the next holder of the title Duke of Orléans after another entity.
  • E. successorAsDukeOfAnjou
    Indicates that one entity became the next holder of the title Duke of Anjou after another entity.
  • 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_69f349b8bb6c8190ad12a7957a574f04 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69ffe01c9d3c819084c256bb3c81c0dc completed May 10, 2026, 1:32 a.m.
PD Predicate disambiguation batch_69ffdfcc78b08190aa4493f13d62a531 completed May 10, 2026, 1:30 a.m.
Created at: May 1, 2026, 1:57 a.m.