Triple

T15985106
Position Surface form Disambiguated ID Type / Status
Subject Wilhelm Brückner E387671 entity
Predicate familyName P18 FINISHED
Object Brückner
Brückner is a German surname borne by various notable individuals in fields such as politics, the arts, and academia.
E1188192 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: Brückner | Statement: [Wilhelm Brückner, familyName, Brückner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brückner
Context triple: [Wilhelm Brückner, familyName, Brückner]
  • A. Kreuzer
    The Kreuzer was a small silver coin and monetary unit used for centuries in various German-speaking states within the Holy Roman Empire and beyond.
  • B. Brechtel
    Brechtel is a residential subarea within the Algiers neighborhood of New Orleans, Louisiana.
  • C. Borchardt
    Borchardt is a German surname most notably associated with Ludwig Borchardt, the archaeologist who discovered the bust of Nefertiti.
  • D. Bonnke
    Bonnke is a German surname most prominently associated with Reinhard Bonnke, a well-known Christian evangelist.
  • E. Kröpelin
    Kröpelin is a small town in the Rostock district of Mecklenburg-Vorpommern in northern Germany, historically significant enough to lend its name to the famous Kröpeliner Tor city gate in nearby Rostock.
  • 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: Brückner
Triple: [Wilhelm Brückner, familyName, Brückner]
Generated description
Brückner is a German surname borne by various notable individuals in fields such as politics, the arts, and academia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Brückner
Target entity description: Brückner is a German surname borne by various notable individuals in fields such as politics, the arts, and academia.
  • A. Kreuzer
    The Kreuzer was a small silver coin and monetary unit used for centuries in various German-speaking states within the Holy Roman Empire and beyond.
  • B. Brechtel
    Brechtel is a residential subarea within the Algiers neighborhood of New Orleans, Louisiana.
  • C. Borchardt
    Borchardt is a German surname most notably associated with Ludwig Borchardt, the archaeologist who discovered the bust of Nefertiti.
  • D. Bonnke
    Bonnke is a German surname most prominently associated with Reinhard Bonnke, a well-known Christian evangelist.
  • E. Kröpelin
    Kröpelin is a small town in the Rostock district of Mecklenburg-Vorpommern in northern Germany, historically significant enough to lend its name to the famous Kröpeliner Tor city gate in nearby Rostock.
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15757a3548190900de1962308f6b8 completed April 16, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3cdf7848190848e9081027dc027 completed May 9, 2026, 11:31 p.m.
NEDg Description generation batch_69ffc5669c1c81909bacf61c96cb7816 completed May 9, 2026, 11:38 p.m.
NED2 Entity disambiguation (via description) batch_69ffc5c7db1c8190b4e1de6f6e3ce8a0 completed May 9, 2026, 11:39 p.m.
Created at: April 10, 2026, 4:54 a.m.