Triple

T465683
Position Surface form Disambiguated ID Type / Status
Subject Joachim Sauer E8441 entity
Predicate givenName P17 FINISHED
Object Joachim
Joachim is a masculine given name of Hebrew origin, commonly used in German-speaking and other European countries.
 E69939 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: Joachim | Statement: [Joachim Sauer, givenName, Joachim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Joachim
Context triple: [Joachim Sauer, givenName, Joachim]
  • A. Johann
    Johann is a given name of Germanic origin commonly used in German-speaking and other European countries.
  • B. Johan
    Johan is the given first name of J. Erik Jonsson, an American businessman and philanthropist who co-founded Texas Instruments and served as mayor of Dallas.
  • C. Johannes
    Johannes is the given first name of Paul Kruger, the prominent 19th-century Boer leader and president of the South African Republic.
  • D. Gottfried
    Gottfried is the given name of Johann Gottfried Herder, an influential 18th-century German philosopher, theologian, and literary critic associated with the Sturm und Drang movement and early Romanticism.
  • E. Nikolaus
    Nikolaus is the traditional German figure based on Saint Nicholas who brings small gifts to children on the eve of December 6th.
  • 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: Joachim
Triple: [Joachim Sauer, givenName, Joachim]
Generated description
Joachim is a masculine given name of Hebrew origin, commonly used in German-speaking and other European countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Joachim
Target entity description: Joachim is a masculine given name of Hebrew origin, commonly used in German-speaking and other European countries.
  • A. Johann
    Johann is a given name of Germanic origin commonly used in German-speaking and other European countries.
  • B. Johan
    Johan is the given first name of J. Erik Jonsson, an American businessman and philanthropist who co-founded Texas Instruments and served as mayor of Dallas.
  • C. Johannes
    Johannes is the given first name of Paul Kruger, the prominent 19th-century Boer leader and president of the South African Republic.
  • D. Gottfried
    Gottfried is the given name of Johann Gottfried Herder, an influential 18th-century German philosopher, theologian, and literary critic associated with the Sturm und Drang movement and early Romanticism.
  • E. Nikolaus
    Nikolaus is the traditional German figure based on Saint Nicholas who brings small gifts to children on the eve of December 6th.
  • 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_69a2e7f3aeb48190a19453e3a043f486 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2efd6ec708190b78c7f22deb3ca64 completed Feb. 28, 2026, 1:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4e9b6d1088190a925b1b3d78e9674 completed March 2, 2026, 1:36 a.m.
NEDg Description generation batch_69a4ea2b7aa88190b448885292f4a552 completed March 2, 2026, 1:38 a.m.
NED2 Entity disambiguation (via description) batch_69a4eaaba7c48190b5a8ab2a3b3b3ce6 completed March 2, 2026, 1:40 a.m.
Created at: Feb. 28, 2026, 1:12 p.m.