Triple

T15169513
Position Surface form Disambiguated ID Type / Status
Subject Schippers E362446 entity
Predicate hasNotableBearer P458 FINISHED
Object Pieter Schippers E1163753 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: Pieter Schippers | Statement: [Schippers, hasNotableBearer, Pieter Schippers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pieter Schippers
Context triple: [Schippers, hasNotableBearer, Pieter Schippers]
  • A. Piet de Jong
    Piet de Jong was a Dutch politician who served as Prime Minister of the Netherlands from 1967 to 1971.
  • B. Piet Keizer
    Piet Keizer was a renowned Dutch footballer, best known as a skillful left winger for Ajax and the Netherlands national team during the late 1960s and early 1970s.
  • C. Johannes Schippers chosen
    Johannes Schippers is an individual notable enough to be recognized as a prominent bearer of the surname Schippers.
  • D. 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.
  • E. Piet Klijnveld
    Piet Klijnveld was a Dutch accountant and entrepreneur who co-founded the international professional services firm that later became part of KPMG.
  • 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_69d85a087b7c81908baa94a53dac8d68 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0064dba588190a4341775b472a6d3 completed April 15, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c2d21348190a8045cf1847396e0 completed May 9, 2026, 3:01 p.m.
Created at: April 10, 2026, 3:08 a.m.