Triple

T2512189
Position Surface form Disambiguated ID Type / Status
Subject Wilhelm E52726 entity
Predicate hasVariant P455 FINISHED
Object Wilhem 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: Wilhem | Statement: [Wilhelm, hasVariant, Wilhem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wilhem
Context triple: [Wilhelm, hasVariant, Wilhem]
  • A. Willem
    Willem is a given name, primarily used in Dutch-speaking regions, that corresponds to the English name William.
  • B. Wilhelm chosen
    Wilhelm is a Germanic given name, equivalent to William, historically borne by numerous European nobles, rulers, and notable figures.
  • C. Lodewijk
    Lodewijk is the Dutch given name equivalent to Ludwig, historically borne by several notable figures including Dutch nobles and artists.
  • D. Waldemar
    Waldemar is a masculine given name of Germanic origin, historically associated with Scandinavian and Central European nobility and notable figures.
  • E. Hendrik
    Hendrik is a masculine given name of Germanic origin, commonly used in Dutch- and German-speaking countries and related to the name Henry.
  • 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_69ab4958e76481908a235377dd921c9e completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1efb5c48190a9b47b39a388412b completed March 7, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa0425944819096e87fadfce94bc2 completed March 10, 2026, 4:38 a.m.
Created at: March 6, 2026, 9:46 p.m.