Triple

T21993431
Position Surface form Disambiguated ID Type / Status
Subject Goede tijden, slechte tijden E543144 entity
Predicate hasCharacter P2308 FINISHED
Object Sjoerd Bouwhuis 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: Sjoerd Bouwhuis | Statement: [Goede tijden, slechte tijden, hasCharacter, Sjoerd Bouwhuis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sjoerd Bouwhuis
Context triple: [Goede tijden, slechte tijden, hasCharacter, Sjoerd Bouwhuis]
  • A. Sjoerd Soeters
    Sjoerd Soeters is a Dutch architect known for his postmodern, human-scaled urban designs and influential waterfront redevelopment projects in the Netherlands.
  • B. Wouter Barendrecht
    Wouter Barendrecht was a Dutch film producer and co-founder of Fortissimo Films, known for championing independent and international cinema.
  • C. Tim Kruithoff
    Tim Kruithoff is a German local politician who serves as the mayor of the city of Emden in Lower Saxony.
  • D. Anton Bouwhuis chosen
    Anton Bouwhuis is a fictional character from the long-running Dutch soap opera "Goede tijden, slechte tijden," known for his complex family relationships and dramatic storylines.
  • E. Sander van Doorn
    Sander van Doorn is a Dutch DJ and electronic music producer known for his influential work in trance and progressive house.
  • 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_69e11e2c814c8190837d072789000486 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1270f77fc8190aadcc02760d65ac0 completed April 28, 2026, 9:30 p.m.
Created at: April 16, 2026, 8:17 p.m.