Triple

T710002
Position Surface form Disambiguated ID Type / Status
Subject Jacob van Swanenburgh E14184 entity
Predicate name P16 FINISHED
Object Jacob van Swanenburgh E14184 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: Jacob van Swanenburgh | Statement: [Jacob van Swanenburgh, name, Jacob van Swanenburgh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jacob van Swanenburgh
Context triple: [Jacob van Swanenburgh, name, Jacob van Swanenburgh]
  • A. Jacob van Swanenburgh chosen
    Jacob van Swanenburgh was a Dutch painter of the early 17th century, known for his atmospheric cityscapes and infernal scenes and for having taught the young Rembrandt.
  • B. Dirck van Bleyswijck
    Dirck van Bleyswijck was a 17th-century Dutch writer and city official from Delft, best known for his detailed topographical and historical description of the city.
  • C. Hendrick van der Burch
    Hendrick van der Burch was a 17th-century Dutch painter associated with the artistic community in Delft.
  • D. Dirck van der Lisse
    Dirck van der Lisse was a 17th-century Dutch Golden Age painter known for his landscapes and association with the circle of Jan van Goyen.
  • E. Jan van der Meer van Utrecht
    Jan van der Meer van Utrecht was a Dutch Golden Age painter associated with the artistic community in Delft.
  • 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_69a493494ec48190ae6751683625a9ba completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a55b63988190837e71fcdf3e39a6 completed March 1, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69acddf440848190aa5019ffcedd4859 completed March 8, 2026, 2:24 a.m.
Created at: March 1, 2026, 7:36 p.m.