Triple

T334256
Position Surface form Disambiguated ID Type / Status
Subject Willem E6688 entity
Predicate hasCognate P2525 FINISHED
Object Vilhelm E52726 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: Vilhelm | Statement: [Willem, hasCognate, Vilhelm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vilhelm
Context triple: [Willem, hasCognate, Vilhelm]
  • A. Edvard
    Edvard is a given name, commonly used in Scandinavian and some European countries, that corresponds to the English name Edward.
  • B. Wilhelm chosen
    Wilhelm is a Germanic given name, equivalent to William, historically borne by numerous European nobles, rulers, and notable figures.
  • C. Nikolaus
    Nikolaus is the traditional German figure based on Saint Nicholas who brings small gifts to children on the eve of December 6th.
  • D. Peter Andreas Munch
    Peter Andreas Munch was a prominent 19th-century Norwegian historian and scholar known for his pioneering work on Norway’s medieval history and national identity.
  • E. Johannes
    Johannes is the given first name of Paul Kruger, the prominent 19th-century Boer leader and president of the South African Republic.
  • 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_69a2e79434908190a9d5afe415153ad9 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2eac641708190b85fa21368e5de8e completed Feb. 28, 2026, 1:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69a42f5eac748190aab0861ddbb947f5 completed March 1, 2026, 12:21 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.