Triple

T13013486
Position Surface form Disambiguated ID Type / Status
Subject Willem Louw E322481 entity
Predicate hasGivenName P17 FINISHED
Object Willem E6688 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: Willem | Statement: [Willem Louw, hasGivenName, Willem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Willem
Context triple: [Willem Louw, hasGivenName, Willem]
  • A. Willem chosen
    Willem is a given name, primarily used in Dutch-speaking regions, that corresponds to the English name William.
  • B. Willem Boy
    Willem Boy was a 16th-century Flemish sculptor and architect active in Sweden, known for his work at the royal court of King John III.
  • C. Willem Arondeus
    Willem Arondeus was a Dutch artist and openly gay resistance fighter during World War II, best known for his role in the 1943 attack on Amsterdam’s population registry to hinder Nazi persecution of Jews.
  • D. Adriaan
    Adriaan is a masculine given name of Dutch origin commonly used in the Netherlands and other Dutch-speaking regions.
  • 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_69d807657e8c8190bd9435ee2f823845 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97ecbb8f4819094d55eb07cb5ad97 completed April 10, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d5f861188190892b4d693395cc5e completed May 3, 2026, 4:58 a.m.
Created at: April 9, 2026, 8:50 p.m.