Triple

T5226516
Position Surface form Disambiguated ID Type / Status
Subject Maaskant E118001 entity
Predicate hasNotableBearer P458 FINISHED
Object H.A. Maaskant E20512 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: H.A. Maaskant | Statement: [Maaskant, hasNotableBearer, H.A. Maaskant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: H.A. Maaskant
Context triple: [Maaskant, hasNotableBearer, H.A. Maaskant]
  • A. H. A. Maaskant chosen
    H. A. Maaskant was a prominent Dutch architect and structural engineer known for his large-scale postwar modernist designs.
  • B. Piet Kraak
    Piet Kraak was a Dutch football goalkeeper who played for the Netherlands national team in the mid-20th century.
  • C. Willem Drost
    Willem Drost was a Dutch Golden Age painter and etcher known for his Rembrandt-influenced biblical and historical scenes.
  • D. Hein ter Poorten
    Hein ter Poorten was a Dutch general who commanded Allied land forces in the Netherlands East Indies during the early stages of World War II.
  • 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_69bd4466fb8c819083b806a79414d7e4 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7adc9be081909903b9f844c3d146 completed March 20, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef809189c8190b61bd386480c0222 completed March 21, 2026, 7:56 p.m.
Created at: March 20, 2026, 1:48 p.m.