Triple

T39018
Position Surface form Disambiguated ID Type / Status
Subject William E772 entity
Predicate hasVariant P455 FINISHED
Object Wilhelm E16588 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: Wilhelm | Statement: [William, hasVariant, Wilhelm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wilhelm
Context triple: [William, hasVariant, Wilhelm]
  • A. Theodor
    Theodor "Ted" Nelson is an American pioneer of information technology best known for coining the term "hypertext" and envisioning global hyperlinked document systems.
  • B. Otto
    Otto is the title of one of the early nominative reports that were later incorporated into the official United States Reports, documenting decisions of the U.S. Supreme Court.
  • C. Willem
    Willem is a given name, primarily used in Dutch-speaking regions, that corresponds to the English name William.
  • D. Rudolf Lange
    Rudolf Lange was a high-ranking SS officer and Holocaust perpetrator who played a key role in mass shootings in Latvia and participated in the Wannsee Conference that coordinated the "Final Solution."
  • E. Wilhelm Bittrich chosen
    Wilhelm Bittrich was a German Waffen-SS general and panzer corps commander during World War II, noted for his role in major battles on both the Eastern and Western Fronts.
  • 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_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_69a2c26f0f208190b407df744062d1f0 completed Feb. 28, 2026, 10:24 a.m.
Created at: Feb. 28, 2026, 1:46 a.m.