Triple

T16968737
Position Surface form Disambiguated ID Type / Status
Subject Reinier de Graaf E411609 entity
Predicate familyName P18 FINISHED
Object de Graaf E411609 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: de Graaf | Statement: [Reinier de Graaf, familyName, de Graaf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: de Graaf
Context triple: [Reinier de Graaf, familyName, de Graaf]
  • A. de Graaf chosen
    De Graaf is a Dutch surname most notably associated with figures such as Reinier de Graaf, a 17th-century physician and anatomist known for his pioneering work on the reproductive system.
  • B. Ovaro
    Ovaro is a small municipality in the Carnia region of Friuli-Venezia Giulia in northeastern Italy, known as a gateway village to the famous Monte Zoncolan climb in the Alps.
  • C. Gräfenberg
    Gräfenberg is a small town in northern Bavaria, Germany, known for its historic Franconian architecture and scenic location near the Franconian Switzerland region.
  • D. Nissalke
    Nissalke is the surname of Tom Nissalke, an American professional basketball coach known for his stints in the NBA and ABA.
  • E. Graefekiez
    Graefekiez is a popular, village-like neighborhood in Berlin’s Kreuzberg district known for its leafy streets, cafés, and vibrant local culture.
  • 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_69d886c9c9d481909afe222093641cae completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d0a86c64819092831f8ddf1e536b completed April 18, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d46f1d608190befe4dcbda086c03 completed May 10, 2026, 6:54 p.m.
Created at: April 10, 2026, 5:31 a.m.