Triple

T438002
Position Surface form Disambiguated ID Type / Status
Subject Wilhelm Ritter von Thoma E10052 entity
Predicate familyName P18 FINISHED
Object von Thoma E10052 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: von Thoma | Statement: [Wilhelm Ritter von Thoma, familyName, von Thoma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: von Thoma
Context triple: [Wilhelm Ritter von Thoma, familyName, von Thoma]
  • 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. Detlev
    Detlev is a masculine given name of German origin, historically borne by several notable figures in science and academia.
  • C. René Thomas
    René Thomas was a Belgian biophysicist and geneticist known for pioneering work in the logical modeling of gene regulatory networks and dynamical systems in biology.
  • D. Wilhelm Ritter von Thoma chosen
    Wilhelm Ritter von Thoma was a German Wehrmacht general and tank commander in World War II, best known for leading armored forces in the North African campaign.
  • E. Krafft
    Krafft is a variant spelling of the surname Kraft, which is of German origin and borne by various notable individuals.
  • 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_69a2e8465ef481909655c681b01e2986 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2ef26bb78819089b3b5dac0330619 completed Feb. 28, 2026, 1:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4366eb0588190beb5c43828f8ca45 completed March 1, 2026, 12:51 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.