Triple

T18152026
Position Surface form Disambiguated ID Type / Status
Subject Crown Prince Christian of Denmark E434526 entity
Predicate middleName P143 FINISHED
Object Henri 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: Henri | Statement: [Crown Prince Christian of Denmark, middleName, Henri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henri
Context triple: [Crown Prince Christian of Denmark, middleName, Henri]
  • A. Henri chosen
    Henri is a given name most famously associated with the French artist Henri Matisse.
  • B. René
    René is a French given name commonly used for males and historically associated with several notable figures in politics, arts, and philosophy.
  • C. Pierre
    Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
  • D. Francois
    Francois is the given first name of South African rugby union scrum-half Faf de Klerk.
  • E. Gustave
    Gustave is a masculine given name of French origin, famously borne by engineer Gustave Eiffel.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b90aac308190801e2c57d8c5bfe5 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4de38d4e08190bc4d430b70b7e288 completed April 19, 2026, 1:52 p.m.
Created at: April 10, 2026, 10:29 a.m.