Triple

T1424351
Position Surface form Disambiguated ID Type / Status
Subject Wenzel Anton von Kaunitz E30295 entity
Predicate givenName P17 FINISHED
Object Wenzel
Wenzel is a masculine given name of Germanic origin, historically borne by several Central European nobles and statesmen.
 E164524 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: Wenzel | Statement: [Wenzel Anton von Kaunitz, givenName, Wenzel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wenzel
Context triple: [Wenzel Anton von Kaunitz, givenName, Wenzel]
  • A. Kritzinger
    Kritzinger is a German surname most notably associated with Friedrich Wilhelm Kritzinger, a high-ranking Nazi official involved in the administrative planning of the Holocaust.
  • B. Pölzl
    Pölzl is the maiden surname of Klara Hitler, the mother of Adolf Hitler.
  • C. Wolthusen
    Wolthusen is a district of the seaport city of Emden in Lower Saxony, Germany, known for its residential character and proximity to the Ems estuary.
  • D. Wüthrich
    Wüthrich is a Swiss surname most notably associated with Nobel Prize–winning chemist Kurt Wüthrich.
  • E. Mereschkowski
    Mereschkowski is the surname of Konstantin Mereschkowski, a Russian biologist known for proposing the theory of symbiogenesis in the early 20th century.
  • 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: Wenzel
Triple: [Wenzel Anton von Kaunitz, givenName, Wenzel]
Generated description
Wenzel is a masculine given name of Germanic origin, historically borne by several Central European nobles and statesmen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wenzel
Target entity description: Wenzel is a masculine given name of Germanic origin, historically borne by several Central European nobles and statesmen.
  • A. Kritzinger
    Kritzinger is a German surname most notably associated with Friedrich Wilhelm Kritzinger, a high-ranking Nazi official involved in the administrative planning of the Holocaust.
  • B. Pölzl
    Pölzl is the maiden surname of Klara Hitler, the mother of Adolf Hitler.
  • C. Wolthusen
    Wolthusen is a district of the seaport city of Emden in Lower Saxony, Germany, known for its residential character and proximity to the Ems estuary.
  • D. Wüthrich
    Wüthrich is a Swiss surname most notably associated with Nobel Prize–winning chemist Kurt Wüthrich.
  • E. Mereschkowski
    Mereschkowski is the surname of Konstantin Mereschkowski, a Russian biologist known for proposing the theory of symbiogenesis in the early 20th century.
  • 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_69a498fb823c8190a67ce4c4837e641a completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c4bc145c8190a2d7a1d755d18251 completed March 1, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad01646fd481909fcd92a1cc027fa2 completed March 8, 2026, 4:56 a.m.
NEDg Description generation batch_69ad022095f88190a68f40a56c7e1729 completed March 8, 2026, 4:59 a.m.
NED2 Entity disambiguation (via description) batch_69ad031af0c8819095df7bd413915c14 completed March 8, 2026, 5:03 a.m.
Created at: March 1, 2026, 8 p.m.