Triple

T15196248
Position Surface form Disambiguated ID Type / Status
Subject Dirck van Baburen E363144 entity
Predicate familyName P18 FINISHED
Object van Baburen E363144 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: van Baburen | Statement: [Dirck van Baburen, familyName, van Baburen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: van Baburen
Context triple: [Dirck van Baburen, familyName, van Baburen]
  • A. van Baburen chosen
    Van Baburen is the surname of Dirck van Baburen, a Dutch Golden Age painter known for his Caravaggesque style and genre scenes.
  • B. van Beinum
    Van Beinum is a Dutch surname most notably associated with Eduard van Beinum, the renowned mid-20th-century conductor of the Royal Concertgebouw Orchestra.
  • C. Gogolin
    Gogolin is a small town in southwestern Poland known for its Silesian cultural heritage and location within the Opole region.
  • D. Totleben
    Totleben is a German-origin surname most notably associated with Eduard Totleben, a prominent 19th-century Russian military engineer and general.
  • E. Vasishka
    Vasishka was a Kushan emperor who ruled parts of northern India and Central Asia in the early 3rd century CE, known primarily from his inscriptions and coinage.
  • 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_69d85a09a39c81908759f23268e2d408 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0067fcc788190abdc083d4eadeb36 completed April 15, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed3324fdc8190b31d4d2fcaffc57a completed May 9, 2026, 6:24 a.m.
Created at: April 10, 2026, 3:10 a.m.