Triple

T12894965
Position Surface form Disambiguated ID Type / Status
Subject Luzi von Sonnenthal E308467 entity
Predicate givenName P17 FINISHED
Object Luzi
Luzi is a given name associated with the Austrian actor Luzi von Sonnenthal.
 E1008462 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: Luzi | Statement: [Luzi von Sonnenthal, givenName, Luzi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Luzi
Context triple: [Luzi von Sonnenthal, givenName, Luzi]
  • A. Luz
    Luz was the nickname of Carl Ludwig Long, a German long jumper best known for his sportsmanship toward Jesse Owens at the 1936 Berlin Olympics.
  • B. Luz
    Luz is a major railway and metro hub in São Paulo, Brazil, serving as a key interchange point for multiple urban transit lines.
  • C. Luz
    Luz is a small coastal settlement on Graciosa Island in Portugal’s Azores archipelago.
  • D. Luz
    Luz is a historic neighborhood in Chennai, India, known for its cultural landmarks and proximity to the coastal Santhome area.
  • E. Lujza
    Lujza is a given name, primarily used in Central and Eastern Europe, that corresponds to the name Luisa or Louise in other languages.
  • 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: Luzi
Triple: [Luzi von Sonnenthal, givenName, Luzi]
Generated description
Luzi is a given name associated with the Austrian actor Luzi von Sonnenthal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Luzi
Target entity description: Luzi is a given name associated with the Austrian actor Luzi von Sonnenthal.
  • A. Luz
    Luz was the nickname of Carl Ludwig Long, a German long jumper best known for his sportsmanship toward Jesse Owens at the 1936 Berlin Olympics.
  • B. Luz
    Luz is a major railway and metro hub in São Paulo, Brazil, serving as a key interchange point for multiple urban transit lines.
  • C. Luz
    Luz is a small coastal settlement on Graciosa Island in Portugal’s Azores archipelago.
  • D. Luz
    Luz is a historic neighborhood in Chennai, India, known for its cultural landmarks and proximity to the coastal Santhome area.
  • E. Lujza
    Lujza is a given name, primarily used in Central and Eastern Europe, that corresponds to the name Luisa or Louise in other languages.
  • 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_69d7bdf7c1f0819098102569a8d8cbf5 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9717d859481908957510babac2d69 completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a55daf788190be72af98b288bd70 completed May 3, 2026, 1:31 a.m.
NEDg Description generation batch_69f6a641d1988190b9af41c8c7ca599e completed May 3, 2026, 1:34 a.m.
NED2 Entity disambiguation (via description) batch_69f6a7792f948190bb0b324bee0cd8ac completed May 3, 2026, 1:40 a.m.
Created at: April 9, 2026, 5:40 p.m.