Triple

T7767354
Position Surface form Disambiguated ID Type / Status
Subject Eugenie Besserer E178982 entity
Predicate familyName P18 FINISHED
Object Besserer
Besserer is a surname most notably associated with Eugenie Besserer, an early 20th-century film actress.
 E687231 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: Besserer | Statement: [Eugenie Besserer, familyName, Besserer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Besserer
Context triple: [Eugenie Besserer, familyName, Besserer]
  • A. Eberl
    Eberl is a German-language surname of Austrian and Bavarian origin borne by various notable individuals.
  • B. Eitel
    Eitel is the introspective, spiritually searching protagonist of Norman Mailer’s novel "The Deer Park."
  • C. Weinert
    Weinert is a German-language surname borne by various notable individuals in fields such as the arts, sciences, and public life.
  • D. Garbitsch
    Garbitsch is the sinister, Goebbels-like propaganda minister in Charlie Chaplin’s 1940 satirical film "The Great Dictator," played by actor Henry Daniell.
  • E. Oberhauser
    Oberhauser is a German-language surname borne by various notable individuals across fields such as sports, the arts, and public life.
  • 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: Besserer
Triple: [Eugenie Besserer, familyName, Besserer]
Generated description
Besserer is a surname most notably associated with Eugenie Besserer, an early 20th-century film actress.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Besserer
Target entity description: Besserer is a surname most notably associated with Eugenie Besserer, an early 20th-century film actress.
  • A. Eberl
    Eberl is a German-language surname of Austrian and Bavarian origin borne by various notable individuals.
  • B. Eitel
    Eitel is the introspective, spiritually searching protagonist of Norman Mailer’s novel "The Deer Park."
  • C. Weinert
    Weinert is a German-language surname borne by various notable individuals in fields such as the arts, sciences, and public life.
  • D. Garbitsch
    Garbitsch is the sinister, Goebbels-like propaganda minister in Charlie Chaplin’s 1940 satirical film "The Great Dictator," played by actor Henry Daniell.
  • E. Oberhauser
    Oberhauser is a German-language surname borne by various notable individuals across fields such as sports, the arts, and public life.
  • 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_69c69f30602c819082ab52cd4af5c592 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c7043451bc8190a76ee066b779b7d7 completed March 27, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8c7e4976c81909ff34dcdcae96999 completed March 29, 2026, 6:34 a.m.
NEDg Description generation batch_69c8c8b75b848190a67de2040d563f86 completed March 29, 2026, 6:37 a.m.
NED2 Entity disambiguation (via description) batch_69c8c941814081909d299df5cd714c71 completed March 29, 2026, 6:40 a.m.
Created at: March 27, 2026, 4:11 p.m.