Triple

T13247624
Position Surface form Disambiguated ID Type / Status
Subject Jan Blankers E315445 entity
Predicate name P16 FINISHED
Object Jan Blankers E315445 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: Jan Blankers | Statement: [Jan Blankers, name, Jan Blankers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jan Blankers
Context triple: [Jan Blankers, name, Jan Blankers]
  • A. Jan Blankers chosen
    Jan Blankers was a Dutch athletics coach and sports official, best known as the husband and trainer of Olympic champion Fanny Blankers-Koen.
  • B. Guus Meeuwis
    Guus Meeuwis is a Dutch singer-songwriter and pop artist best known for his hit songs and long-standing popularity in the Netherlands and Flanders.
  • C. Hans van Heeswijk
    Hans van Heeswijk is a Dutch architect known for designing prominent cultural buildings, including major expansions and renovations of museums in the Netherlands.
  • D. Jeroen Lammers
    Jeroen Lammers is a Dutch former speed skater who competed internationally in the early 2000s.
  • E. Eduard Flipse
    Eduard Flipse was a prominent Dutch conductor known for elevating the Rotterdam Philharmonic Orchestra’s international reputation and championing contemporary music.
  • 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_69d806b1072881909e46bd212259c5f0 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d5c09f88190bb1566a6d8c073a6 completed April 10, 2026, 11:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f70a3b8ca48190863aff25f12d0e7e completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 9:23 p.m.