Triple

T2867402
Position Surface form Disambiguated ID Type / Status
Subject Ralf Baader E63472 entity
Predicate hasGivenName P17 FINISHED
Object Ralf
Ralf is a masculine given name of German origin commonly used in German-speaking and Scandinavian countries.
 E305974 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: Ralf | Statement: [Ralf Baader, hasGivenName, Ralf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ralf
Context triple: [Ralf Baader, hasGivenName, Ralf]
  • A. Rolf
    Rolf is a masculine given name of Germanic origin commonly used in German-speaking and Scandinavian countries.
  • B. Rolph
    Rolph is a surname most notably associated with James Rolph, a prominent early 20th-century American politician and former mayor of San Francisco and governor of California.
  • C. Sven
    Sven is the lovable reindeer companion in Disney's animated film "Frozen," known for his close bond with Kristoff and his expressive, dog-like personality.
  • D. Sebastian Rudolph
    Sebastian Rudolph is a German actor known for his work in film, television, and theater, including roles in historical and dramatic productions.
  • E. Jürgen
    Jürgen is a masculine given name of German origin, commonly used in German-speaking countries.
  • 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: Ralf
Triple: [Ralf Baader, hasGivenName, Ralf]
Generated description
Ralf is a masculine given name of German origin commonly used in German-speaking and Scandinavian countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ralf
Target entity description: Ralf is a masculine given name of German origin commonly used in German-speaking and Scandinavian countries.
  • A. Rolf
    Rolf is a masculine given name of Germanic origin commonly used in German-speaking and Scandinavian countries.
  • B. Rolph
    Rolph is a surname most notably associated with James Rolph, a prominent early 20th-century American politician and former mayor of San Francisco and governor of California.
  • C. Sven
    Sven is the lovable reindeer companion in Disney's animated film "Frozen," known for his close bond with Kristoff and his expressive, dog-like personality.
  • D. Sebastian Rudolph
    Sebastian Rudolph is a German actor known for his work in film, television, and theater, including roles in historical and dramatic productions.
  • E. Jürgen
    Jürgen is a masculine given name of German origin, commonly used in German-speaking countries.
  • 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_69ab4c42fb8c8190b36e161d47c03b81 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdfbcebcc81909a78a1787d823e3e completed March 7, 2026, 8:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01da85930819092d19a5e712cfa18 completed March 10, 2026, 1:33 p.m.
NEDg Description generation batch_69b01e34639c8190b1c6e8a14cd31d96 completed March 10, 2026, 1:35 p.m.
NED2 Entity disambiguation (via description) batch_69b01f5a6784819089499926fb115d9c completed March 10, 2026, 1:40 p.m.
Created at: March 6, 2026, 10:02 p.m.