Triple

T13700521
Position Surface form Disambiguated ID Type / Status
Subject Loro E328502 entity
Predicate castMember P1668 FINISHED
Object Euridice Axen
Euridice Axen is an Italian actress known for her work in film and television, including roles in high-profile Italian productions.
E1055662 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: Euridice Axen | Statement: [Loro, castMember, Euridice Axen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Euridice Axen
Context triple: [Loro, castMember, Euridice Axen]
  • A. Eleonora Bereda
    Eleonora Bereda is the mother of renowned Polish-Russian ballet dancer and choreographer Bronislava Nijinska.
  • B. Aurelia Ertl
    Aurelia Ertl was the wife of German-Bolivian cinematographer and mountaineer Hans Ertl.
  • C. Aurelia Jadrny
    Aurelia Jadrny is the mother of former California governor and actor Arnold Schwarzenegger.
  • D. Rosa Stradner
    Rosa Stradner was an Austrian-born actress who appeared in European and Hollywood films in the 1930s and 1940s.
  • E. Felícia Leirner
    Felícia Leirner was a Polish-born Brazilian sculptor known for her modernist works and for the museum and sculpture park in Campos do Jordão that bear her name.
  • 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: Euridice Axen
Triple: [Loro, castMember, Euridice Axen]
Generated description
Euridice Axen is an Italian actress known for her work in film and television, including roles in high-profile Italian productions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Euridice Axen
Target entity description: Euridice Axen is an Italian actress known for her work in film and television, including roles in high-profile Italian productions.
  • A. Eleonora Bereda
    Eleonora Bereda is the mother of renowned Polish-Russian ballet dancer and choreographer Bronislava Nijinska.
  • B. Aurelia Ertl
    Aurelia Ertl was the wife of German-Bolivian cinematographer and mountaineer Hans Ertl.
  • C. Aurelia Jadrny
    Aurelia Jadrny is the mother of former California governor and actor Arnold Schwarzenegger.
  • D. Rosa Stradner
    Rosa Stradner was an Austrian-born actress who appeared in European and Hollywood films in the 1930s and 1940s.
  • E. Felícia Leirner
    Felícia Leirner was a Polish-born Brazilian sculptor known for her modernist works and for the museum and sculpture park in Campos do Jordão that bear her name.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc879adc88190b03f1cf815b71061 completed April 12, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f794575d3881908de6ed988d848918 completed May 3, 2026, 6:30 p.m.
NEDg Description generation batch_69f79523bf608190addeca563bea132e completed May 3, 2026, 6:34 p.m.
NED2 Entity disambiguation (via description) batch_69f7965cc9f88190acbf232615a9e87b completed May 3, 2026, 6:39 p.m.
Created at: April 9, 2026, 9:54 p.m.