Triple

T6498939
Position Surface form Disambiguated ID Type / Status
Subject Victor Kugler E148829 entity
Predicate familyName P18 FINISHED
Object Kugler
Kugler is a German-language surname borne by various notable individuals across fields such as history, the arts, and public life.
 E602799 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: Kugler | Statement: [Victor Kugler, familyName, Kugler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kugler
Context triple: [Victor Kugler, familyName, Kugler]
  • A. Kiesler
    Kiesler is the birth surname of Austrian-born Hollywood actress and inventor Hedy Lamarr.
  • B. Hufstedler
    Hufstedler is the surname of Shirley Hufstedler, a prominent American judge and the first U.S. Secretary of Education.
  • C. Kubelsky
    Kubelsky is the original surname of American comedian and entertainer Jack Benny, born Benjamin Kubelsky.
  • D. Kuppenheimer
    Kuppenheimer was a prominent American men's clothing company best known for its high-quality suits and influential early 20th-century advertising campaigns.
  • E. Kienbaum
    Kienbaum is a small village in the municipality of Grünheide (Mark) in Brandenburg, Germany, known in part for its nearby national Olympic training center.
  • 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: Kugler
Triple: [Victor Kugler, familyName, Kugler]
Generated description
Kugler is a German-language surname borne by various notable individuals across fields such as history, the arts, and public life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kugler
Target entity description: Kugler is a German-language surname borne by various notable individuals across fields such as history, the arts, and public life.
  • A. Kiesler
    Kiesler is the birth surname of Austrian-born Hollywood actress and inventor Hedy Lamarr.
  • B. Hufstedler
    Hufstedler is the surname of Shirley Hufstedler, a prominent American judge and the first U.S. Secretary of Education.
  • C. Kubelsky
    Kubelsky is the original surname of American comedian and entertainer Jack Benny, born Benjamin Kubelsky.
  • D. Kuppenheimer
    Kuppenheimer was a prominent American men's clothing company best known for its high-quality suits and influential early 20th-century advertising campaigns.
  • E. Kienbaum
    Kienbaum is a small village in the municipality of Grünheide (Mark) in Brandenburg, Germany, known in part for its nearby national Olympic training center.
  • 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_69c687e9ad288190bae5bcac9c8ac855 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c68ad00d10819096c43f311388fa3a completed March 27, 2026, 1:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb16d6a48190b6871e55fda2e1a6 completed March 27, 2026, 6:23 p.m.
NEDg Description generation batch_69c6d11efda48190b99b2793801898d1 completed March 27, 2026, 6:49 p.m.
NED2 Entity disambiguation (via description) batch_69c6d1d51d8c8190be4408413110ed9a completed March 27, 2026, 6:52 p.m.
Created at: March 27, 2026, 1:41 p.m.