Triple

T17835917
Position Surface form Disambiguated ID Type / Status
Subject Hugo Eberlein E445382 entity
Predicate familyName P18 FINISHED
Object Eberlein
Eberlein is a German-language surname borne by various notable individuals in politics, academia, and the arts.
E1291367 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: Eberlein | Statement: [Hugo Eberlein, familyName, Eberlein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eberlein
Context triple: [Hugo Eberlein, familyName, Eberlein]
  • A. Eberl
    Eberl is a German-language surname of Austrian and Bavarian origin borne by various notable individuals.
  • B. Eberstein
    Eberstein is a German surname most notably associated with August Eberstein, a co-founder of the Montblanc pen company.
  • C. Eisenberg
    Eisenberg is a small town in the German state of Thuringia that serves as an administrative and cultural center for its surrounding rural district.
  • D. Eisenberg
    Eisenberg is a surname most notably associated with American actress Hallie Kate Eisenberg.
  • E. Bochner
    Bochner is a surname most notably associated with Salomon Bochner, a prominent mathematician known for his contributions to analysis and probability theory.
  • 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: Eberlein
Triple: [Hugo Eberlein, familyName, Eberlein]
Generated description
Eberlein is a German-language surname borne by various notable individuals in politics, academia, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Eberlein
Target entity description: Eberlein is a German-language surname borne by various notable individuals in politics, academia, and the arts.
  • A. Eberl
    Eberl is a German-language surname of Austrian and Bavarian origin borne by various notable individuals.
  • B. Eberstein
    Eberstein is a German surname most notably associated with August Eberstein, a co-founder of the Montblanc pen company.
  • C. Eisenberg
    Eisenberg is a small town in the German state of Thuringia that serves as an administrative and cultural center for its surrounding rural district.
  • D. Eisenberg
    Eisenberg is a surname most notably associated with American actress Hallie Kate Eisenberg.
  • E. Bochner
    Bochner is a surname most notably associated with Salomon Bochner, a prominent mathematician known for his contributions to analysis and probability theory.
  • 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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48d27f8908190bf48a8153756effa completed April 19, 2026, 8:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0306fa32e481908ef71c18b6f37d59 completed May 12, 2026, 10:54 a.m.
NEDg Description generation batch_6a030804acf081908b4f00aa4e45e842 completed May 12, 2026, 10:59 a.m.
NED2 Entity disambiguation (via description) batch_6a0308a29f1081909a44c221aefb723c completed May 12, 2026, 11:01 a.m.
Created at: April 10, 2026, 10:16 a.m.