Triple

T22861380
Position Surface form Disambiguated ID Type / Status
Subject Willem Brakman E566930 entity
Predicate name P16 FINISHED
Object Willem Brakman NE NERFINISHED

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: Willem Brakman | Statement: [Willem Brakman, name, Willem Brakman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Willem Brakman
Context triple: [Willem Brakman, name, Willem Brakman]
  • A. Willem Brakman chosen
    Willem Brakman was a Dutch novelist known for his experimental, often surreal prose and significant contribution to postwar Dutch literature.
  • B. Jurriaan de Jonge
    Jurriaan de Jonge is an individual notable enough to be specifically cited as a bearer of the Dutch surname "de Jonge."
  • C. Willem Drost
    Willem Drost was a Dutch Golden Age painter and etcher known for his Rembrandt-influenced biblical and historical scenes.
  • D. Benno de Goeij
    Benno de Goeij is a Dutch trance music producer and songwriter best known for his work with Armin van Buuren and as part of influential projects like Rank 1.
  • E. George van Egmond
    George van Egmond was a 16th-century Dutch nobleman and Catholic bishop from the influential House of Egmond, notably serving as Bishop of Utrecht.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24589083081908d5694c4fdc80086 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17efcc1308190a95d10e431295ca2 completed April 29, 2026, 3:46 a.m.
Created at: April 17, 2026, 3:37 p.m.