Triple

T10284133
Position Surface form Disambiguated ID Type / Status
Subject Barend Biesheuvel E241182 entity
Predicate givenName P17 FINISHED
Object Barend Willem E852618 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: Barend Willem | Statement: [Barend Biesheuvel, givenName, Barend Willem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barend Willem
Context triple: [Barend Biesheuvel, givenName, Barend Willem]
  • A. Barend Willem Biesheuvel chosen
    Barend Willem Biesheuvel was a Dutch politician who served as Prime Minister of the Netherlands from 1971 to 1973.
  • B. Jan Willem
    Jan Willem is a Dutch masculine given name commonly used in the Netherlands, often as a compound of "Jan" and "Willem."
  • C. Piet de Jong
    Piet de Jong was a Dutch politician who served as Prime Minister of the Netherlands from 1967 to 1971.
  • D. Hendrik de Vries
    Hendrik de Vries was a mathematician who supervised and mentored the influential algebraist Bartel Leendert van der Waerden.
  • E. Gerrit Krol
    Gerrit Krol was a Dutch writer and mathematician known for his experimental, intellectually playful novels and essays that often explored the relationship between language, logic, and reality.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2b5853081909cd0397e08a0f44d completed April 7, 2026, 9:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d750097f1c8190a4b04e3758c89aae completed April 9, 2026, 7:06 a.m.
Created at: April 6, 2026, 11:39 a.m.