Triple

T4256980
Position Surface form Disambiguated ID Type / Status
Subject Kees van Dongen E95998 entity
Predicate givenName P17 FINISHED
Object Cornelis E103491 NE FINISHED

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: Cornelis | Statement: [Kees van Dongen, givenName, Cornelis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cornelis
Context triple: [Kees van Dongen, givenName, Cornelis]
  • A. Cornelis chosen
    Cornelis is a Dutch given name historically borne by notable figures such as statesman Cornelis de Witt.
  • B. Cornelis Evertsen the Younger
    Cornelis Evertsen the Younger was a 17th-century Dutch admiral of the Admiralty of Zeeland who played a prominent role in the Anglo-Dutch Wars and the Nine Years' War.
  • C. Cornelis Bicker
    Cornelis Bicker was a prominent 17th-century Amsterdam regent and member of the influential Bicker family, active in the city’s political and commercial life during the Dutch Golden Age.
  • D. Cornelis de Vos
    Cornelis de Vos was a prominent Flemish Baroque painter known for his refined portraits and religious scenes in early 17th-century Antwerp.
  • E. Nicolaes
    Nicolaes is a Dutch given name historically borne by several notable figures, including 17th-century painters and civic leaders of the Dutch Golden Age.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69b3454095ac81909c2494f7ff294af1 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34ec321008190b2cc1aca6ab690c4 completed March 12, 2026, 11:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5f5b3f5b88190bda71f9f053e67d7 completed March 14, 2026, 11:56 p.m.
Created at: March 12, 2026, 11:06 p.m.