Triple

T17611764
Position Surface form Disambiguated ID Type / Status
Subject Widukind E428979 entity
Predicate children P980 FINISHED
Object Wichmann
Wichmann was a medieval Saxon nobleman, likely a descendant of the famous Saxon leader Widukind, who played a role in the turbulent politics of early medieval Germany.
 E1277664 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: Wichmann | Statement: [Widukind, children, Wichmann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wichmann
Context triple: [Widukind, children, Wichmann]
  • A. Welchman
    Welchman is a surname most notably associated with Gordon Welchman, a key British codebreaker at Bletchley Park during World War II.
  • B. Wolffsohn
    Wolffsohn is a Jewish-German surname most notably associated with David Wolffsohn, a prominent Zionist leader and successor to Theodor Herzl as head of the World Zionist Organization.
  • C. Winkleman
    Winkleman is a surname most notably associated with British actress Sophie Winkleman and her extended family, which includes media and entertainment figures.
  • D. Worner
    Worner is a surname and variant spelling of "Warner," used by various individuals and families, particularly in English-speaking countries.
  • E. Wenman
    Wenman is an uncommon English given name historically borne by figures such as the politician Wenman Coke.
  • 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: Wichmann
Triple: [Widukind, children, Wichmann]
Generated description
Wichmann was a medieval Saxon nobleman, likely a descendant of the famous Saxon leader Widukind, who played a role in the turbulent politics of early medieval Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wichmann
Target entity description: Wichmann was a medieval Saxon nobleman, likely a descendant of the famous Saxon leader Widukind, who played a role in the turbulent politics of early medieval Germany.
  • A. Welchman
    Welchman is a surname most notably associated with Gordon Welchman, a key British codebreaker at Bletchley Park during World War II.
  • B. Wolffsohn
    Wolffsohn is a Jewish-German surname most notably associated with David Wolffsohn, a prominent Zionist leader and successor to Theodor Herzl as head of the World Zionist Organization.
  • C. Winkleman
    Winkleman is a surname most notably associated with British actress Sophie Winkleman and her extended family, which includes media and entertainment figures.
  • D. Worner
    Worner is a surname and variant spelling of "Warner," used by various individuals and families, particularly in English-speaking countries.
  • E. Wenman
    Wenman is an uncommon English given name historically borne by figures such as the politician Wenman Coke.
  • 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_69d889e1c6148190ba76241e74688f8b completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46d2dfa688190a0b9b396bb6133cc completed April 19, 2026, 5:50 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01e8241cb481909ebb91e24c6eaf63 completed May 11, 2026, 2:31 p.m.
NEDg Description generation batch_6a01ee1a291c81909fa432ccc787028f completed May 11, 2026, 2:56 p.m.
NED2 Entity disambiguation (via description) batch_6a01eec7e00c81908d88be9f88e924c8 completed May 11, 2026, 2:59 p.m.
Created at: April 10, 2026, 5:51 a.m.