Triple

T23219052
Position Surface form Disambiguated ID Type / Status
Subject Jan Rubens E580834 entity
Predicate name P16 FINISHED
Object Jan Rubens 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: Jan Rubens | Statement: [Jan Rubens, name, Jan Rubens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jan Rubens
Context triple: [Jan Rubens, name, Jan Rubens]
  • A. Jan Rubens chosen
    Jan Rubens was a 16th-century German lawyer and the father of the Flemish Baroque painter Peter Paul Rubens.
  • B. Philip Rubens
    Philip Rubens was a Flemish scholar and antiquarian, best known as the learned elder brother of the painter Peter Paul Rubens.
  • C. Peter Paul Rubens
    Peter Paul Rubens was a prolific 17th-century Flemish Baroque painter renowned for his dynamic compositions, vibrant color, and dramatic depictions of religious, mythological, and historical subjects.
  • D. Ferdinand Bol
    Ferdinand Bol was a Dutch Golden Age painter and etcher known for his portraits and history paintings, strongly influenced by his training in Rembrandt’s workshop.
  • E. Frans Hals
    Frans Hals was a prominent Dutch Golden Age painter renowned for his lively, expressive portraiture and innovative brushwork.
  • 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_69e2460389408190be74f41d217799a9 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f191675de48190858907872a065c56 completed April 29, 2026, 5:04 a.m.
Created at: April 17, 2026, 4:08 p.m.