Triple

T39019
Position Surface form Disambiguated ID Type / Status
Subject William E772 entity
Predicate hasVariant P455 FINISHED
Object Willem
Willem is a given name, primarily used in Dutch-speaking regions, that corresponds to the English name William.
E6688 NE FINISHED

How this triple was built (4 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, hasVariant, Willem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Willem
Context triple: [William, hasVariant, Willem]
  • A. Johan
    Johan is the given first name of J. Erik Jonsson, an American businessman and philanthropist who co-founded Texas Instruments and served as mayor of Dallas.
  • B. Theodor
    Theodor "Ted" Nelson is an American pioneer of information technology best known for coining the term "hypertext" and envisioning global hyperlinked document systems.
  • C. De Croo
    De Croo is a Belgian political family name most prominently associated with Alexander De Croo, the Prime Minister of Belgium.
  • D. Edwin
    Edwin is a masculine given name of Old English origin meaning "rich friend" or "prosperous friend."
  • E. Herbert
    Herbert is a masculine given name of Germanic origin that has been borne by various notable figures, including U.S. President Herbert Hoover.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Willem
Triple: [William, hasVariant, Willem]
Generated description
Willem is a given name, primarily used in Dutch-speaking regions, that corresponds to the English name William.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Willem
Target entity description: Willem is a given name, primarily used in Dutch-speaking regions, that corresponds to the English name William.
  • A. Johan
    Johan is the given first name of J. Erik Jonsson, an American businessman and philanthropist who co-founded Texas Instruments and served as mayor of Dallas.
  • B. Theodor
    Theodor "Ted" Nelson is an American pioneer of information technology best known for coining the term "hypertext" and envisioning global hyperlinked document systems.
  • C. De Croo
    De Croo is a Belgian political family name most prominently associated with Alexander De Croo, the Prime Minister of Belgium.
  • D. Edwin
    Edwin is a masculine given name of Old English origin meaning "rich friend" or "prosperous friend."
  • E. Herbert
    Herbert is a masculine given name of Germanic origin that has been borne by various notable figures, including U.S. President Herbert Hoover.
  • F. None of above. chosen

Provenance (5 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_69a247a8f6c08190bac804906d62ed5a completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a24acd14b48190b80d4329621583df completed Feb. 28, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69a25ab3438c81908ff16eb23a09fea7 completed Feb. 28, 2026, 3:02 a.m.
NEDg Description generation batch_69a25ba68f1081908f88d2bb2af35af6 completed Feb. 28, 2026, 3:06 a.m.
NED2 Entity disambiguation (via description) batch_69a25c4a5fa8819082a737e1f0251a8a completed Feb. 28, 2026, 3:08 a.m.
Created at: Feb. 28, 2026, 1:46 a.m.