Triple

T5197318
Position Surface form Disambiguated ID Type / Status
Subject Abraham Bloemaert E117302 entity
Predicate notableStudent P4838 FINISHED
Object Herman Saftleven E76775 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: Herman Saftleven | Statement: [Abraham Bloemaert, notableStudent, Herman Saftleven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Herman Saftleven
Context triple: [Abraham Bloemaert, notableStudent, Herman Saftleven]
  • A. Herman Saftleven chosen
    Herman Saftleven was a 17th-century Dutch painter and draughtsman known for his detailed river landscapes and topographical views.
  • B. Hans Wynberg
    Hans Wynberg was a Dutch organic chemist known for his influential work in stereochemistry and as the PhD advisor of Nobel laureate Ben Feringa.
  • C. Johan Barthold
    Johan Barthold Jongkind was a 19th-century Dutch painter and printmaker whose innovative landscapes and treatment of light significantly influenced the development of French Impressionism.
  • D. Marius de Vries
    Marius de Vries is a British composer, producer, and arranger known for his innovative work on film soundtracks and collaborations with prominent pop and electronic artists.
  • E. Victor Francen
    Victor Francen was a Belgian-born French actor known for his distinguished presence in European and Hollywood films of the 1930s and 1940s.
  • 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_69bd4462ed04819084fcb01eb9d2fa74 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7a1dbf7881909ed596ffdd1219bb completed March 20, 2026, 4:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69bee09d84f08190b8270394fc35e195 completed March 21, 2026, 6:17 p.m.
Created at: March 20, 2026, 1:46 p.m.