Triple

T3701941
Position Surface form Disambiguated ID Type / Status
Subject William, Prince of Orange (1840–1879) E80796 entity
Predicate givenName 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: [William, Prince of Orange (1840–1879), givenName, Willem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Willem
Context triple: [William, Prince of Orange (1840–1879), givenName, Willem]
  • A. Willem chosen
    Willem is a given name, primarily used in Dutch-speaking regions, that corresponds to the English name William.
  • B. Hendrik
    Hendrik is a masculine given name of Germanic origin, commonly used in Dutch- and German-speaking countries and related to the name Henry.
  • C. Lodewijk
    Lodewijk is the Dutch given name equivalent to Ludwig, historically borne by several notable figures including Dutch nobles and artists.
  • D. Willem Delff
    Willem Delff was a Dutch Golden Age engraver and painter from Delft, known for his detailed reproductive engravings after prominent artists of his time.
  • E. Pieter
    Pieter is the given first name of the influential Afrikaans poet, playwright, and essayist N. P. van Wyk Louw.
  • 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_69ad8b1793888190a5f70e4b21dc05a1 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adc547c1848190a1ece46c59b7c43d completed March 8, 2026, 6:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4cdf53190819098529d11a5a3c7a8 completed March 14, 2026, 2:54 a.m.
Created at: March 8, 2026, 3:33 p.m.